{"meta":{"query_hash":"4e9ff8854109","filters":{"venue":"The International Journal of Maritime Engineering"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/4e9ff8854109","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+International+Journal+of+Maritime+Engineering"},"results":[{"id":"W2004856769","doi":"10.3940/rina.ijme.2004.a2.3504","title":"Freesub: Navigation Guidance and Control of An IAUV","year":2004,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Aeronautics; Computer science; Engineering","score_opus":0.005825217493593952,"score_gpt":0.2032749552650031,"score_spread":0.19744973777140915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004856769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08077324,0.0005066221,0.8381282,0.00024880728,0.00037858883,0.00018539066,0.000578705,0.012550665,0.066649765],"genre_scores_gemma":[0.8866953,0.00021999623,0.07542888,0.0001943568,0.0000767438,0.00025956894,0.0007268386,0.00030579578,0.03609251],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998247,0.000020239147,0.0000053102985,0.000042361728,0.00007943195,0.000027961447],"domain_scores_gemma":[0.99987864,0.00001485352,0.000014188962,0.000023626708,0.000050480947,0.000018191313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027240644,0.0005575667,0.0003478127,0.0005112491,0.000684186,0.0009315529,0.00090297306,0.00049998594,0.005826861],"category_scores_gemma":[0.00045461897,0.00017064402,0.00029564294,0.0002667949,0.00049627596,0.0005236831,0.0016028762,0.00056465535,0.0018327555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007678378,0.00019896255,0.0073586386,0.0005231492,0.00011105704,0.0008838088,0.001204359,0.23123957,0.13788815,0.058104247,0.023369052,0.5383511],"study_design_scores_gemma":[0.00009578925,0.0005728637,0.004117079,0.000055165216,0.00005459651,0.0003896257,0.000218161,0.8181523,0.039095495,0.012646147,0.124539845,0.000062965446],"about_ca_topic_score_codex":0.0048163556,"about_ca_topic_score_gemma":0.004885336,"teacher_disagreement_score":0.005826861,"about_ca_system_score_codex":0.00035969328,"about_ca_system_score_gemma":0.000736237,"threshold_uncertainty_score":0.019492805},"labels":[],"label_agreement":null},{"id":"W2291011323","doi":"10.5750/ijme.v155ia3.903","title":"RESISTANCE PREDICTION USING ARTIFICIAL NEURAL NETWORKS FOR PRELIMINARY TRI-SWACH DESIGN","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Artificial neural network; Hull; Machine learning; Experimental data; Process (computing); Artificial intelligence; Work (physics); Computer science; Engineering; Data mining; Statistics; Marine engineering; Mathematics; Mechanical engineering","score_opus":0.02037115493833916,"score_gpt":0.22939994851682236,"score_spread":0.2090287935784832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291011323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5850163,0.00037485317,0.40569156,0.00017584824,0.00007089201,0.000103808954,0.00031600863,0.001246648,0.0070039914],"genre_scores_gemma":[0.95976037,0.00009672102,0.038006894,0.000022872387,0.0000052604632,0.0000642307,0.00023644383,0.00003172953,0.001775499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997271,0.000062962514,0.000023485338,0.00006303821,0.000091775444,0.000031614854],"domain_scores_gemma":[0.99904794,0.0005102461,0.00013098789,0.00007033779,0.00021277498,0.000027656146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066880597,0.0010060928,0.0004427605,0.0007785162,0.00022524704,0.00062227173,0.00045733206,0.0006479226,0.0017061831],"category_scores_gemma":[0.0020229532,0.00037706236,0.0004915541,0.0003759635,0.00022441724,0.00059054326,0.0003542467,0.00061944,0.00042297214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084667474,0.0000667072,0.0033987905,0.00005398159,0.000020081463,0.000049714046,0.000026529257,0.95340496,0.0054530418,0.0001815709,0.00022015635,0.037039775],"study_design_scores_gemma":[0.0000016062282,0.000047116504,0.000676518,0.0000057848733,0.0000036397334,0.0000051999377,0.0000067329042,0.9973738,0.0016323429,0.00011550036,0.00012717598,0.000004522069],"about_ca_topic_score_codex":0.0035654723,"about_ca_topic_score_gemma":0.0051825764,"teacher_disagreement_score":0.0035654723,"about_ca_system_score_codex":0.00045248514,"about_ca_system_score_gemma":0.0003824804,"threshold_uncertainty_score":0.007089436},"labels":[],"label_agreement":null},{"id":"W2495714329","doi":"10.5750/ijme.v155ia4.909","title":"STUDY ON PROPULSIVE PERFORMANCE OF TWO GEOMETRICALLY SIMILAR PODDED PROPULSORS","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Memorial University of Newfoundland","funders":"","keywords":"Propeller; Towing; Marine engineering; Thrust; Dynamometer; Cavitation; Propulsor; Propulsive efficiency; Inflow; Torque; Propulsion; Point of delivery; Reynolds number; Water tunnel; Engineering; Mechanics; Mechanical engineering; Aerospace engineering; Physics; Turbulence; Vortex","score_opus":0.01114614814408445,"score_gpt":0.237652258187376,"score_spread":0.22650611004329155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495714329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577904,0.00009503247,0.0037212095,0.000013879572,0.000011486363,0.000028345396,0.000034568384,0.00003212561,0.0002843278],"genre_scores_gemma":[0.99497825,0.00008554847,0.0043696784,0.000009672011,0.0000030742117,0.000015395723,0.00007418062,0.0000076192973,0.000456576],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966633,0.000029457617,0.000034556764,0.000067747445,0.00015744634,0.0000444882],"domain_scores_gemma":[0.9990557,0.00030258618,0.00015495264,0.000120381934,0.0002695665,0.00009694284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038708645,0.00029298963,0.000411299,0.00029743026,0.00023950067,0.00040209616,0.000503575,0.00040479412,0.0007690416],"category_scores_gemma":[0.001476999,0.00016922396,0.0002756476,0.00019115643,0.00044527696,0.00043471128,0.0005637866,0.00035813043,0.00014357112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000703478,0.00018447186,0.0048968275,0.00021911738,0.000023234841,0.0003885873,0.00013577854,0.004219013,0.9690257,0.0001345922,0.0000596172,0.020009663],"study_design_scores_gemma":[0.00011450477,0.013694799,0.03825313,0.000019227205,0.000060786468,0.00074756553,0.00040910585,0.021738442,0.92249686,0.00009557465,0.0023085566,0.00006138984],"about_ca_topic_score_codex":0.00045613022,"about_ca_topic_score_gemma":0.0003641605,"teacher_disagreement_score":0.0007690416,"about_ca_system_score_codex":0.00021049977,"about_ca_system_score_gemma":0.00022220291,"threshold_uncertainty_score":0.0025727153},"labels":[],"label_agreement":null},{"id":"W3190505286","doi":"10.5750/ijme.v163ia1.12","title":"Vessel Motions and Work Interruptions Aboard a Fast Rescue Craft","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Coast guard; Hull; Statistical analysis; Acceleration; Marine engineering; Sea trial; Aeronautics; Geodesy; Meteorology; Geology; Engineering; Statistics; Physics; Mathematics","score_opus":0.007311780830322408,"score_gpt":0.21372520617021226,"score_spread":0.20641342533988985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190505286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900985,0.000013201064,0.00029619472,0.000005740154,0.00000381742,0.00006508583,0.000099247816,0.000010878073,0.00049601006],"genre_scores_gemma":[0.9978654,0.000028658844,0.0008511905,0.000009570342,0.0000049453174,0.000063055806,0.00023879467,0.000005901005,0.0009324524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994592,0.00009964991,0.000026135729,0.000109614266,0.00021862381,0.00008676],"domain_scores_gemma":[0.99691784,0.0011154634,0.0005281055,0.00022694361,0.0008332423,0.00037840693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007552124,0.000428265,0.00034679772,0.00065026776,0.0007161574,0.00031993634,0.00047035987,0.00034886342,0.0015250746],"category_scores_gemma":[0.004276608,0.00019802366,0.0001822088,0.000301872,0.00062947295,0.00024247663,0.0004196773,0.00063522,0.00030244814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.02067108,0.00870653,0.53120285,0.00069611584,0.00027411975,0.0027704225,0.011217564,0.020194262,0.26792103,0.00033975436,0.0024640614,0.13354215],"study_design_scores_gemma":[0.00010066413,0.023583593,0.9545918,0.000044403132,0.00004057246,0.00029618962,0.003705578,0.0037067796,0.012478192,0.00010066356,0.001309506,0.000042110423],"about_ca_topic_score_codex":0.009745313,"about_ca_topic_score_gemma":0.03380468,"teacher_disagreement_score":0.009745313,"about_ca_system_score_codex":0.00041124667,"about_ca_system_score_gemma":0.00034837337,"threshold_uncertainty_score":0.019377172},"labels":[],"label_agreement":null},{"id":"W4200017048","doi":"10.5750/ijme.v156ia3.929","title":"STEPPING RESPONSE DURING CONSTRAINED AND UNCONSTRAINED STANDING IN MOVING ENVIRONMENTS","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of New Brunswick; Memorial University of Newfoundland","funders":"","keywords":"Kinematics; Stepping stone; Motion (physics); Task (project management); Time stepping; Degrees of freedom (physics and chemistry); Computer science; Standing wave; Simulation; Mathematics; Artificial intelligence; Engineering; Mathematical analysis; Physics; Acoustics; Classical mechanics; Economics","score_opus":0.004659924711958708,"score_gpt":0.19559030679910386,"score_spread":0.19093038208714516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200017048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996227,0.000011708966,0.00020743774,0.0000022191873,0.0000015689521,0.0000048514885,0.000020424986,0.000003127169,0.00012600071],"genre_scores_gemma":[0.9993899,0.000025172176,0.00024192533,0.000009388428,0.000002970603,0.000008300222,0.00006786966,0.0000017658276,0.00025270926],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999299,0.000018447425,0.000004726359,0.000017600727,0.00001696268,0.000012376692],"domain_scores_gemma":[0.9997801,0.00007847146,0.000043161213,0.000017284954,0.000032345037,0.00004871367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082674436,0.00025587028,0.00016757715,0.00016046439,0.00012951247,0.00018604651,0.000084890904,0.00020298483,0.0013613501],"category_scores_gemma":[0.00093850575,0.000098216966,0.000098358585,0.00008342767,0.00018256163,0.00009137629,0.00024504453,0.00013699233,0.00019182726],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005240537,0.00027803102,0.13723113,0.0002252543,0.0001412675,0.0012568183,0.0028520375,0.0011544365,0.8183333,0.00006536477,0.00023292542,0.03298891],"study_design_scores_gemma":[0.000034717577,0.0020477653,0.9837573,0.000013584569,0.000036378715,0.00069310516,0.0012876278,0.0012366687,0.010532556,0.00006611918,0.00027673607,0.000017232434],"about_ca_topic_score_codex":0.0009428032,"about_ca_topic_score_gemma":0.0016683693,"teacher_disagreement_score":0.0013613501,"about_ca_system_score_codex":0.0000332423,"about_ca_system_score_gemma":0.000070148024,"threshold_uncertainty_score":0.0045541525},"labels":[],"label_agreement":null},{"id":"W4200247249","doi":"10.5750/ijme.v161ia1.1080","title":"INTERNATIONAL DEVELOPMENT AND VALIDATION OF A DISTRIBUTED SIMULATION FOR NAVAL SHIP REPLENISHMENT AT SEA","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Payload (computing); Marine engineering; Distributed Interactive Simulation; Software; High-level architecture; Sea trial; Computer science; Simulation software; Modeling and simulation; Synchronization (alternating current); Systems engineering; Simulation; Engineering; Interoperability; Telecommunications","score_opus":0.06658950879498371,"score_gpt":0.36467492271759494,"score_spread":0.29808541392261123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200247249","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21275942,0.00042766973,0.7424586,0.0009194296,0.00027168103,0.00072419434,0.0007058681,0.003446446,0.03828674],"genre_scores_gemma":[0.68714154,0.00043832112,0.3017331,0.00007850881,0.000028941364,0.00043282428,0.0017450007,0.00032394388,0.00807781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985983,0.0005362662,0.00009099078,0.00016994179,0.00048246447,0.0001221124],"domain_scores_gemma":[0.996739,0.00089373125,0.00007608692,0.00070623605,0.0012858185,0.00029908624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00428021,0.00059275795,0.0005359238,0.00071595056,0.0009253536,0.0012393148,0.0015699763,0.00077912246,0.0027865588],"category_scores_gemma":[0.004235139,0.00031484175,0.00075996376,0.0006747491,0.0008491757,0.0008796608,0.0013637,0.0011581006,0.00054885814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022135898,0.000323258,0.004181193,0.000096551696,0.000058363694,0.0001168922,0.00028860194,0.8956636,0.011137388,0.011857061,0.0017609961,0.074294746],"study_design_scores_gemma":[0.00021618341,0.00026981081,0.001462828,0.000043514035,0.00003110022,0.000050676277,0.00009194017,0.9666137,0.011641452,0.0025167596,0.017039116,0.000022847775],"about_ca_topic_score_codex":0.022011248,"about_ca_topic_score_gemma":0.011899212,"teacher_disagreement_score":0.022011248,"about_ca_system_score_codex":0.0018297831,"about_ca_system_score_gemma":0.004690454,"threshold_uncertainty_score":0.04376626},"labels":[],"label_agreement":null},{"id":"W4200349532","doi":"10.5750/ijme.v160ia3.1068","title":"VIRTUAL HULL MONITORING: CONTINUOUS FATIGUE ASSESSMENT WITHOUT ADDITIONAL INSTRUMENTATION","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Hull; Hindcast; Buoy; Strain gauge; Instrumentation (computer programming); Marine engineering; Computer science; Structural engineering; Acoustics; Engineering; Remote sensing; Geology; Physics","score_opus":0.01678944523861493,"score_gpt":0.29665361361017756,"score_spread":0.27986416837156264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200349532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29928452,0.000445882,0.6940127,0.00008000699,0.00005913873,0.00013723232,0.00049921795,0.001436634,0.0040446976],"genre_scores_gemma":[0.86160856,0.00028199932,0.13563098,0.000048971713,0.000031162293,0.00013396393,0.0003185701,0.00004824164,0.001897642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997327,0.000038111702,0.000010565076,0.000067214816,0.00013119171,0.000020189478],"domain_scores_gemma":[0.99959594,0.00011538207,0.000089970184,0.000067217676,0.00010426456,0.00002726183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034374197,0.00042129628,0.00029712022,0.00072805875,0.00016820291,0.00047858182,0.00054971233,0.0004334565,0.0011552172],"category_scores_gemma":[0.00081874337,0.00020134158,0.0001316776,0.00045605717,0.00020123659,0.00069886947,0.00070085266,0.0002704975,0.00038571743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007152049,0.00019741895,0.02616128,0.00029415142,0.00005274926,0.00017730324,0.00031752087,0.019215718,0.40270936,0.001129095,0.0020503437,0.5469798],"study_design_scores_gemma":[0.00010063239,0.002960115,0.08889242,0.000112931666,0.000106543004,0.0013286337,0.00025876163,0.7228289,0.17273541,0.0022368713,0.008315413,0.00012343856],"about_ca_topic_score_codex":0.00062803295,"about_ca_topic_score_gemma":0.0014716282,"teacher_disagreement_score":0.0011552172,"about_ca_system_score_codex":0.00014137804,"about_ca_system_score_gemma":0.00020410231,"threshold_uncertainty_score":0.003864646},"labels":[],"label_agreement":null},{"id":"W4200558040","doi":"10.5750/ijme.v161ia4.1114","title":"ERRATA: CORRIGENDA TO VIRTUAL HULL MONITORING: CONTINUOUS FATIGUE ASSESSMENT WITHOUT ADDITIONAL INSTRUMENTATION","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Hull; Instrumentation (computer programming); Aeronautics; Engineering; Marine engineering; Computer science; Operating system","score_opus":0.013551448036033547,"score_gpt":0.2649206312023128,"score_spread":0.25136918316627926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200558040","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014525193,0.0015182598,0.003691358,0.040990982,0.94572794,0.00006971976,0.0013130594,0.0008013656,0.0044347635],"genre_scores_gemma":[0.07712904,0.014299014,0.027931761,0.09000691,0.22631972,0.00043970635,0.007111176,0.0061944644,0.5505682],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651366,0.0003764746,0.0008459623,0.0004436139,0.0016274991,0.00019283367],"domain_scores_gemma":[0.9668037,0.004725245,0.001146959,0.0019590473,0.024501266,0.0008636973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018383617,0.0014227782,0.0012512548,0.00180689,0.002003767,0.0019440739,0.0017810923,0.0037115472,0.032147974],"category_scores_gemma":[0.032658275,0.00076738675,0.001193609,0.0013129971,0.0014428591,0.0015019093,0.0016689943,0.0052195587,0.02531387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009995351,0.000022238757,0.000367847,0.00022314867,0.00001665509,0.00094650884,0.00011197274,0.00014586265,0.00064564083,0.00067961065,0.97886306,0.017877467],"study_design_scores_gemma":[0.00002538459,0.00006408588,0.0020295787,0.0002864719,0.000053399857,0.0012455925,0.0002591345,0.00064351124,0.0024164617,0.00073041767,0.992188,0.00005804958],"about_ca_topic_score_codex":0.020441426,"about_ca_topic_score_gemma":0.022965988,"teacher_disagreement_score":0.032147974,"about_ca_system_score_codex":0.0020679543,"about_ca_system_score_gemma":0.0035384463,"threshold_uncertainty_score":0.107545674},"labels":[],"label_agreement":null},{"id":"W4200570595","doi":"10.5750/ijme.v152ia3.832","title":"NAVAL SHIP STABILITY GUIDELINES: DEVELOPING A SHARED VISION FOR NAVAL STABILITY ASSESSMENT","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Maritime Security and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Crew; Software deployment; Aeronautics; Context (archaeology); Procurement; Operations research; Stability (learning theory); Computer science; Engineering; Law; Computer security; Political science; Business; History; Archaeology","score_opus":0.06844721246481657,"score_gpt":0.36390882136125885,"score_spread":0.2954616088964423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200570595","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020614823,0.011144657,0.5281033,0.23792668,0.008029507,0.005382778,0.002802107,0.003396422,0.1825997],"genre_scores_gemma":[0.09632634,0.008597636,0.8352355,0.011960446,0.00091468665,0.00236008,0.0046989764,0.0007266928,0.039179653],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9638037,0.010104153,0.0049353377,0.0012260219,0.018652966,0.0012778312],"domain_scores_gemma":[0.9402121,0.0048310137,0.0034790994,0.002794674,0.044366248,0.0043168752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.049208265,0.0023601635,0.0012380878,0.010649064,0.005200482,0.012447883,0.0074820113,0.0073811994,0.002757384],"category_scores_gemma":[0.055694036,0.0010513784,0.0013712478,0.0043497668,0.006319992,0.008891696,0.011507015,0.010262324,0.0029180981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004563439,0.0005919098,0.008239615,0.0009941248,0.000081395316,0.0007871531,0.012332499,0.016521577,0.005632173,0.24303721,0.31512398,0.3966128],"study_design_scores_gemma":[0.000018996885,0.00020078906,0.006404004,0.0032150815,0.00004439722,0.0005001871,0.011031788,0.007792119,0.0013965623,0.09592798,0.87327045,0.00019761824],"about_ca_topic_score_codex":0.06697795,"about_ca_topic_score_gemma":0.050502803,"teacher_disagreement_score":0.06697795,"about_ca_system_score_codex":0.0107581215,"about_ca_system_score_gemma":0.071706794,"threshold_uncertainty_score":0.26024133},"labels":[],"label_agreement":null},{"id":"W4205346930","doi":"10.5750/ijme.v153ia2.851","title":"NUMERICAL SOLUTIONS OF 2D AND 3D SLAMMING PROBLEMS","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Slamming; Wedge (geometry); Free surface; Geometry; Mechanics; Conjugate gradient method; Compressibility; Nonlinear system; Cartesian coordinate system; Mathematics; Mathematical analysis; Classical mechanics; Geology; Physics; Mathematical optimization; Hull","score_opus":0.00804877208251547,"score_gpt":0.20853593890123423,"score_spread":0.20048716681871875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205346930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055430233,0.00030351698,0.9194289,0.00038009085,0.00023515386,0.00020221,0.000858071,0.0008564924,0.02230541],"genre_scores_gemma":[0.40325198,0.00039536928,0.58028555,0.00016546062,0.00009453771,0.00072737434,0.0009777881,0.00033892086,0.013762951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959713,0.000072552575,0.000029549126,0.00006336445,0.00017600934,0.00006138578],"domain_scores_gemma":[0.99915195,0.00038955794,0.00008523123,0.000108117245,0.00020678477,0.000058325597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063016714,0.00058718777,0.0007580568,0.0006742853,0.00076302106,0.0011440951,0.0010196641,0.0017083138,0.006616317],"category_scores_gemma":[0.002317899,0.00039506846,0.0007715012,0.00079462054,0.00088345405,0.00062309665,0.0015688953,0.00082851877,0.0009094107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037482834,0.00003644398,0.0012633457,0.00013159827,0.000014460266,0.00018809135,0.00014211034,0.9511105,0.004580517,0.01944798,0.0015751272,0.021472322],"study_design_scores_gemma":[0.0000090841595,0.000010634811,0.00021799072,0.000008128851,0.0000016932958,0.00005233883,0.000027272017,0.9946774,0.0008664067,0.001844608,0.0022756916,0.00000871307],"about_ca_topic_score_codex":0.004626845,"about_ca_topic_score_gemma":0.003108979,"teacher_disagreement_score":0.006616317,"about_ca_system_score_codex":0.0005588572,"about_ca_system_score_gemma":0.0013330678,"threshold_uncertainty_score":0.022133827},"labels":[],"label_agreement":null},{"id":"W4225741268","doi":"10.5750/ijme.v160ia4.1073","title":"AN APPLICATION OF MACHINE LEARNING TO SHIPPING EMISSION INVENTORY","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"International Association of Maritime Universities","keywords":"Set (abstract data type); Emission inventory; Computer science; Model selection; Data set; Quality (philosophy); Environmental science; Operations research; Machine learning; Meteorology; Artificial intelligence; Engineering; Air quality index; Geography","score_opus":0.0054171481545575335,"score_gpt":0.21944206126409643,"score_spread":0.2140249131095389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225741268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055318743,0.00034988468,0.9381291,0.00034562213,0.00005155034,0.00008975342,0.00023141652,0.00097156176,0.0045123817],"genre_scores_gemma":[0.7372354,0.00031252118,0.25870246,0.00013781278,0.000061144136,0.00016552176,0.00033537965,0.00008802069,0.0029617762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948335,0.0002100401,0.000030230764,0.00008352667,0.00015559081,0.000037236783],"domain_scores_gemma":[0.99869555,0.0009268338,0.00007142296,0.000082971805,0.00020471525,0.000018518494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010718466,0.0007461353,0.00060023915,0.0007473664,0.0003493548,0.00077892025,0.00064856326,0.0006152475,0.00100387],"category_scores_gemma":[0.0038742884,0.00031143898,0.0006257813,0.00072752434,0.00032775017,0.0007371518,0.0005159112,0.0007612801,0.00030188583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017493641,0.000043607557,0.0020985575,0.00002527374,0.00003067625,0.00003577225,0.000017820954,0.9535802,0.0005690683,0.0020488314,0.00028326781,0.04124939],"study_design_scores_gemma":[0.0000011409495,0.000010045724,0.00024053334,0.0000028991535,0.0000019734982,0.0000061613537,0.0000023839054,0.9977817,0.000333576,0.0013497885,0.00026672086,0.000003147542],"about_ca_topic_score_codex":0.010093745,"about_ca_topic_score_gemma":0.005782091,"teacher_disagreement_score":0.010093745,"about_ca_system_score_codex":0.0008243906,"about_ca_system_score_gemma":0.0008605337,"threshold_uncertainty_score":0.020070016},"labels":[],"label_agreement":null},{"id":"W4225990178","doi":"10.5750/ijme.v158ia2.978","title":"AN INHERENTLY SAFER LAYOUT DESIGN FOR THE LIQUEFACTION PROCESS OF AN FLNG PLANT","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"SAFER; Inherent safety; Process (computing); Scope (computer science); Liquefaction; Reliability engineering; Risk analysis (engineering); Computer science; Engineering design process; Engineering; Computer security; Mechanical engineering","score_opus":0.015828834171967537,"score_gpt":0.25325132477613294,"score_spread":0.2374224906041654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225990178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060992036,0.0001657489,0.9346783,0.000047779864,0.000017349203,0.00010079156,0.00006100411,0.00032364624,0.003613246],"genre_scores_gemma":[0.5562663,0.00025610437,0.44117466,0.00002506516,0.000011087648,0.00013043186,0.00010987319,0.000055813933,0.0019705847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962413,0.000086564054,0.000023910983,0.00007886002,0.00014856206,0.00003791721],"domain_scores_gemma":[0.99961084,0.000086791544,0.0001229351,0.000044483142,0.000117178584,0.000017781915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000510354,0.00065034465,0.00036225098,0.0005755929,0.00025532316,0.000700107,0.0006345622,0.0005490268,0.0019454631],"category_scores_gemma":[0.0007172973,0.00030036396,0.0004925181,0.00025281918,0.00037501595,0.00044332157,0.00044094387,0.00034222263,0.00025729256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007486169,0.00006284364,0.0013324129,0.0002637769,0.000025416006,0.00015413434,0.00013225604,0.8523294,0.061201517,0.006410363,0.00030758313,0.07770548],"study_design_scores_gemma":[0.000030723317,0.00057796703,0.0012775429,0.000029413233,0.00005965733,0.00020374582,0.000083497274,0.96545917,0.024708902,0.0028197845,0.0047226534,0.000026953338],"about_ca_topic_score_codex":0.0014387285,"about_ca_topic_score_gemma":0.0021702058,"teacher_disagreement_score":0.0019454631,"about_ca_system_score_codex":0.0006014523,"about_ca_system_score_gemma":0.0009641512,"threshold_uncertainty_score":0.006508231},"labels":[],"label_agreement":null},{"id":"W4226220173","doi":"10.5750/ijme.v162ia2.1129","title":"INTEGRATED ACCIDENT MODEL FOR MARINE CONVOY TRAFFIC IN ICE- COVERED WATERS","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Crew; Aeronautics; Risk assessment; Risk analysis (engineering); Engineering; Computer science; Operations research; Transport engineering; Computer security; Business","score_opus":0.010430703556013873,"score_gpt":0.21935147633680233,"score_spread":0.20892077278078847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226220173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34616295,0.0012893762,0.606048,0.0013872196,0.0004196136,0.00030734547,0.003905107,0.0009039013,0.039576437],"genre_scores_gemma":[0.96297973,0.00043315653,0.008495056,0.00008644499,0.000079807316,0.00031626897,0.0012068878,0.00006590163,0.026336718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993787,0.00016255272,0.000029024884,0.00014240041,0.00010749286,0.0001797957],"domain_scores_gemma":[0.9988186,0.000541063,0.00014859758,0.000028763745,0.0003817146,0.000081269674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010716864,0.0013441389,0.0013010423,0.0013338317,0.0007620081,0.0016167816,0.0025004095,0.0021042349,0.00779231],"category_scores_gemma":[0.0021137474,0.00060125854,0.0018251131,0.00086698617,0.00068530947,0.000705339,0.0011484218,0.0017334208,0.0008513915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042577492,0.000022960732,0.0010373739,0.000020246163,0.000024165414,0.00009063133,0.000029772622,0.994144,0.00014209129,0.002827447,0.0003237354,0.0012950217],"study_design_scores_gemma":[0.000004382439,0.0000120396635,0.00020416865,0.0000029138405,0.000014239445,0.000008739149,0.0000131046,0.99901044,0.00002347137,0.0005906552,0.000112072536,0.0000037345615],"about_ca_topic_score_codex":0.081998594,"about_ca_topic_score_gemma":0.038956027,"teacher_disagreement_score":0.081998594,"about_ca_system_score_codex":0.0019673496,"about_ca_system_score_gemma":0.0019935644,"threshold_uncertainty_score":0.1630426},"labels":[],"label_agreement":null},{"id":"W4226370827","doi":"10.5750/ijme.v159ia3.1025","title":"RISK ANALYSIS OF OFFSHORE TRANSPORTATION ACCIDENT IN ARCTIC WATERS","year":2021,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Arctic; Fault tree analysis; Accident (philosophy); The arctic; Submarine pipeline; Markov chain; Environmental science; Collision; Risk analysis (engineering); Computer science; Marine engineering; Engineering; Oceanography; Geology; Business; Reliability engineering; Computer security","score_opus":0.019276988552377496,"score_gpt":0.29735018386294215,"score_spread":0.2780731953105647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226370827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021643663,0.0004223762,0.97525644,0.00009627495,0.000019298668,0.00013619597,0.00014001057,0.000104524006,0.0021811677],"genre_scores_gemma":[0.5789717,0.0017757161,0.41380867,0.000050792747,0.00008737284,0.0007407028,0.00040935347,0.000069964226,0.0040857457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99828184,0.000933908,0.00008764134,0.00013081632,0.00046298598,0.00010290692],"domain_scores_gemma":[0.9979722,0.0013488962,0.0002965408,0.00006236746,0.00027397956,0.00004598082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026833084,0.0010256392,0.0007542849,0.0020907014,0.0006067716,0.0012235903,0.0008414376,0.0007207003,0.0017502893],"category_scores_gemma":[0.0046124873,0.0004572318,0.0012543997,0.0008838619,0.0005752301,0.0006999176,0.0011254166,0.0006506025,0.0001906495],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018512723,0.000017625907,0.0017463532,0.00006805246,0.000063835316,0.00019101772,0.000092663766,0.9483068,0.00084695005,0.0260416,0.00044608707,0.022160444],"study_design_scores_gemma":[0.000004835999,0.000061280574,0.00080766034,0.0000273458,0.000026382351,0.00013216588,0.000060706232,0.9827376,0.00041838872,0.014436243,0.0012674741,0.000019937552],"about_ca_topic_score_codex":0.0070309616,"about_ca_topic_score_gemma":0.0048697484,"teacher_disagreement_score":0.0070309616,"about_ca_system_score_codex":0.0013481741,"about_ca_system_score_gemma":0.0017217506,"threshold_uncertainty_score":0.014190853},"labels":[],"label_agreement":null},{"id":"W4296510886","doi":"10.5750/ijme.v164i1.18","title":"Ice Sensing Technologies with Applications in Augmented Situational Awareness","year":2022,"lang":"en","type":"article","venue":"The International Journal of Maritime Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Situation awareness; Sea ice; Situational ethics; Computer science; Operations research; Meteorology; Engineering; Geography; Psychology; Aerospace engineering","score_opus":0.006133134233748579,"score_gpt":0.19457125356678315,"score_spread":0.18843811933303456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296510886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023416298,0.13387853,0.75871813,0.0023118814,0.0019824211,0.00032807468,0.0019885418,0.002631112,0.07474497],"genre_scores_gemma":[0.3336918,0.13154915,0.51099074,0.0016880672,0.0017772003,0.000377549,0.002745905,0.00031864236,0.016860971],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936336,0.00010524158,0.000042266896,0.00011965123,0.00032593854,0.000043555017],"domain_scores_gemma":[0.99919325,0.0003484099,0.000081985956,0.000088271874,0.00026229248,0.000025813924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075109483,0.00079295645,0.00043179322,0.002763682,0.00036624164,0.0022445086,0.00069935917,0.0011949042,0.003438001],"category_scores_gemma":[0.0013108492,0.00036279752,0.0005893256,0.0035383904,0.0006268026,0.0019000969,0.0011308376,0.0007318384,0.0013264822],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015096771,0.00010123629,0.0028851437,0.002980756,0.00015512931,0.0005667364,0.00077874854,0.015582399,0.05282854,0.023668675,0.016494067,0.88380766],"study_design_scores_gemma":[0.000052235097,0.0005855206,0.013320472,0.0022438546,0.00039397384,0.0031326048,0.0015794144,0.09337672,0.0735969,0.07248567,0.7388487,0.00038394486],"about_ca_topic_score_codex":0.0015877843,"about_ca_topic_score_gemma":0.0018470733,"teacher_disagreement_score":0.003438001,"about_ca_system_score_codex":0.00033052592,"about_ca_system_score_gemma":0.0003864296,"threshold_uncertainty_score":0.011501253},"labels":[],"label_agreement":null}]}