{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":14,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":14,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5618b01ec1a2","filters":{"venue":"Pervasive and Mobile Computing"}},"results":[{"id":"W2072158021","doi":"10.1016/j.pmcj.2015.02.001","title":"Autonomous smartphone-based WiFi positioning system by using access points localization and crowdsourcing","year":2015,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Mitacs","keywords":"Computer science; Crowdsourcing; Process (computing); Real-time computing; Inertial measurement unit; Positioning system; Indoor positioning system; Embedded system; Accelerometer; Simulation; Artificial intelligence; Operating system; Point (geometry); World Wide Web","authors":[{"name":"Zainab Syed","is_ca":false},{"name":"Jacques Georgy","is_ca":false},{"name":"Naser El‐Sheimy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01778631702180569,"gpt":0.2435241869806002,"spread":0.2257378699587945,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002136257,0.0008669482,0.0008341073,0.0009135159,0.0005689524,0.0006185993,0.001058767,0.0006593576,0.001272059],"category_scores_gemma":[0.0006660431,0.0003451166,0.000445398,0.0008249552,0.0002172312,0.000617156,0.001037373,0.0003932875,0.001306779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288942,"about_ca_system_score_gemma":0.000650557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006601107,"about_ca_topic_score_gemma":0.009420939,"domain_scores_codex":[0.9995233,0.00005629308,0.0000220462,0.0001387992,0.0001760252,0.00008359264],"domain_scores_gemma":[0.9997099,0.00003317673,0.00003083629,0.00006025316,0.0001267966,0.00003900869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001081327,0.0003527811,0.02455948,0.0004484556,0.0002555349,0.00128665,0.0006087641,0.03714563,0.2281002,0.003317834,0.01409499,0.6887484],"study_design_scores_gemma":[0.0002232884,0.00076817,0.02762024,0.00005955352,0.0003158409,0.00170852,0.0004551443,0.8833522,0.06415205,0.003755725,0.01739268,0.0001965189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2593683,0.0009187204,0.7148255,0.0003911673,0.0007827485,0.0002863441,0.000825537,0.00942948,0.01317216],"genre_scores_gemma":[0.940949,0.0001657526,0.05322607,0.0001044854,0.0001142795,0.00009489131,0.0004037296,0.00004705675,0.004894799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006601107,"threshold_uncertainty_score":0.01312536,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089638258","doi":"10.1016/j.pmcj.2010.11.007","title":"Rapid specification and automated generation of prompting systems to assist people with dementia","year":2010,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council","keywords":"Partially observable Markov decision process; Computer science; Task (project management); Context (archaeology); Process (computing); Set (abstract data type); Human–computer interaction; Artificial intelligence; Key (lock); Machine learning; Markov chain; Markov model; Systems engineering; Computer security; Programming language","authors":[{"name":"Jesse Hoey","is_ca":true},{"name":"Thomas Plötz","is_ca":false},{"name":"Dan Jackson","is_ca":false},{"name":"Andrew Monk","is_ca":false},{"name":"Cuong Pham","is_ca":false},{"name":"Patrick Olivier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02920391478536065,"gpt":0.2539705770262926,"spread":0.224766662240932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001521598,0.001212441,0.0007682439,0.00094641,0.0005507004,0.001079906,0.001031486,0.0009952561,0.005966145],"category_scores_gemma":[0.007818622,0.0005251384,0.0004014898,0.000365757,0.0003233058,0.0008204245,0.0009239801,0.00080235,0.002159169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316972,"about_ca_system_score_gemma":0.00199609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402165,"about_ca_topic_score_gemma":0.004129383,"domain_scores_codex":[0.9989214,0.0003938617,0.0000943385,0.000231538,0.0002661974,0.00009278155],"domain_scores_gemma":[0.9965137,0.001657599,0.0002475903,0.0003212407,0.001136067,0.0001239065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002783556,0.00102232,0.0137974,0.0008337818,0.00008453735,0.002340197,0.002305337,0.05097268,0.1691929,0.01075912,0.0324037,0.7135045],"study_design_scores_gemma":[0.0005708697,0.001343549,0.00880342,0.0002081101,0.0001908592,0.001125087,0.00123146,0.714386,0.2192647,0.01205626,0.04065184,0.0001678489],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09825792,0.000369678,0.8542307,0.0004326595,0.0002483328,0.001514771,0.001967302,0.03722512,0.005753417],"genre_scores_gemma":[0.5365231,0.000226948,0.4535937,0.0001925729,0.0000370313,0.0009627955,0.002804442,0.001005339,0.004654068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005966145,"threshold_uncertainty_score":0.01995879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888758265","doi":"10.1016/j.pmcj.2018.08.002","title":"Machine-to-machine wireless communication technologies for the Internet of Things: Taxonomy, comparison and open issues","year":2018,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Computer science; Machine to machine; Standardization; Wireless; Automation; Open research; Software deployment; OSI model; Wireless network; The Internet; Taxonomy (biology); Telecommunications; Internet of Things; Data science; Computer security; World Wide Web; Software engineering","authors":[{"name":"Federico Montori","is_ca":false},{"name":"Luca Bedogni","is_ca":false},{"name":"Marco Di Felice","is_ca":false},{"name":"Luciano Bononi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03293424946413267,"gpt":0.3118482213588591,"spread":0.2789139718947265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002629338,0.0005967478,0.001223247,0.005806508,0.001292186,0.006234215,0.001957868,0.002497681,0.00162451],"category_scores_gemma":[0.004304568,0.0004361951,0.0006356079,0.008333513,0.003006808,0.01521782,0.00198299,0.002935987,0.0006997121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600208,"about_ca_system_score_gemma":0.002464474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008798326,"about_ca_topic_score_gemma":0.001148436,"domain_scores_codex":[0.997851,0.0004202896,0.0003125398,0.0002410475,0.0009789082,0.0001963331],"domain_scores_gemma":[0.994607,0.002729244,0.0005603108,0.0005318235,0.001291943,0.0002796492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008393046,0.0001924685,0.003719497,0.002765619,0.00005803666,0.0002765009,0.0008834288,0.002279536,0.002805766,0.5121806,0.00793117,0.4668234],"study_design_scores_gemma":[0.00001237162,0.0004576548,0.007954114,0.004307251,0.00009593894,0.003342868,0.003176957,0.01104797,0.002335513,0.329785,0.6373481,0.0001363652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02816018,0.7167684,0.1329772,0.02336708,0.003691528,0.0002826019,0.0002900382,0.0003848925,0.09407815],"genre_scores_gemma":[0.2044029,0.6533323,0.1225976,0.004557398,0.005102301,0.0003114211,0.0005934704,0.0001431982,0.008959311],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006234215,"threshold_uncertainty_score":0.01390547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2036875481","doi":"10.1016/j.pmcj.2010.09.002","title":"An efficient routing protocol for connecting vehicular networks to the Internet","year":2010,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; University of Waterloo","funders":"","keywords":"Computer science; Computer network; Network packet; Routing protocol; Flooding (psychology); Overhead (engineering); Vehicular ad hoc network; The Internet; Protocol (science); Scheme (mathematics); Internet Protocol; Wireless ad hoc network; Distributed computing; Wireless; Telecommunications; World Wide Web","authors":[{"name":"Abderrahim Benslimane","is_ca":false},{"name":"Saman Barghi","is_ca":true},{"name":"Chadi Assi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009233094026874025,"gpt":0.2641155682407446,"spread":0.2548824742138706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009940971,0.0007923496,0.0008491619,0.001298482,0.001092736,0.001468922,0.001600554,0.0008563803,0.00161796],"category_scores_gemma":[0.00236376,0.0005012794,0.0004377663,0.001337767,0.0005489936,0.002375715,0.001369681,0.001089545,0.0008415587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006895143,"about_ca_system_score_gemma":0.001426761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563224,"about_ca_topic_score_gemma":0.003251958,"domain_scores_codex":[0.9990215,0.0002664684,0.0001110179,0.00009854689,0.0004213854,0.00008111768],"domain_scores_gemma":[0.9989854,0.0002754286,0.0001033759,0.0002196015,0.0003677976,0.00004848102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004969173,0.0002914304,0.0007328947,0.000641715,0.0002135063,0.0007436548,0.0002865954,0.2357767,0.06150936,0.1725958,0.03749999,0.4892113],"study_design_scores_gemma":[0.000201026,0.000622798,0.0007472422,0.00009577013,0.0003454809,0.001053027,0.0001808901,0.7826632,0.03214535,0.0537603,0.1280175,0.0001675136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01815782,0.001813241,0.9664188,0.0006934696,0.0008600429,0.0005358951,0.0002976089,0.001867171,0.00935599],"genre_scores_gemma":[0.3805424,0.00376401,0.584057,0.0003881228,0.0005305212,0.0008348085,0.00211104,0.0003388833,0.02743313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00161796,"threshold_uncertainty_score":0.005412638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2807229072","doi":"10.1016/j.pmcj.2018.05.006","title":"Traffic characterization and LTE performance analysis for M2M communications in smart cities","year":2018,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"EnodeB; Computer science; Context (archaeology); Network packet; Smart city; Machine to machine; Throughput; Computer network; Wireless; Real-time computing; Telecommunications; User equipment; Internet of Things; Computer security; Base station","authors":[{"name":"Filippo Malandra","is_ca":true},{"name":"Laurent-Olivier Chiquette","is_ca":true},{"name":"Louis-Philippe Lafontaine-Bédard","is_ca":true},{"name":"Brunilde Sansò","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01542545791145965,"gpt":0.2378908742863176,"spread":0.2224654163748579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006433041,0.0006666848,0.0003783305,0.00204302,0.0006942317,0.0009122182,0.0004352338,0.0006191304,0.0007809845],"category_scores_gemma":[0.002338242,0.0002434897,0.0003717221,0.001636175,0.0003483735,0.0008838743,0.0003065416,0.0002842642,0.00026575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292406,"about_ca_system_score_gemma":0.000565322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786736,"about_ca_topic_score_gemma":0.01249988,"domain_scores_codex":[0.9995059,0.0001164764,0.00002650008,0.00005921649,0.0001396193,0.0001522951],"domain_scores_gemma":[0.9990705,0.0003707436,0.00008955471,0.00009971941,0.0003342819,0.0000352559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008416033,0.0002113825,0.05163268,0.000116548,0.00008705527,0.0004645523,0.0003020174,0.8331333,0.04585947,0.007592358,0.002231759,0.05752731],"study_design_scores_gemma":[0.000004610514,0.00007787823,0.01516034,0.000005650494,0.00002036498,0.0001269587,0.0001371028,0.9756576,0.007168389,0.00108759,0.0005359892,0.00001752437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281189,0.0002888269,0.06672505,0.0001293433,0.00002069576,0.00003981129,0.0004816852,0.0006413964,0.003554307],"genre_scores_gemma":[0.9972832,0.0000595694,0.001868311,0.00001093026,0.000008066033,0.000009243776,0.0003289034,0.0000215412,0.0004101295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01786736,"threshold_uncertainty_score":0.03552669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2035653651","doi":"10.1016/j.pmcj.2012.07.007","title":"Predicting missing contacts in mobile social networks","year":2012,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Popularity; Mobile social network; Range (aeronautics); Routing (electronic design automation); Social contact; Wireless sensor network; Delay-tolerant networking; Computer network; Human–computer interaction; Routing protocol; Mobile computing","authors":[{"name":"Kazem Jahanbakhsh","is_ca":true},{"name":"Valerie King","is_ca":true},{"name":"Gholamali C. Shoja","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02189167057009864,"gpt":0.2646715877179974,"spread":0.2427799171478988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002008754,0.0008123147,0.00143721,0.003066666,0.001120834,0.001412238,0.002285652,0.002566173,0.001130084],"category_scores_gemma":[0.0163138,0.000715151,0.0006189458,0.002131945,0.0007906834,0.003306259,0.001265844,0.001486416,0.0005079429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009548472,"about_ca_system_score_gemma":0.0005067692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009640301,"about_ca_topic_score_gemma":0.01635251,"domain_scores_codex":[0.9985678,0.0003433652,0.0001310961,0.0003814359,0.0003667467,0.0002095281],"domain_scores_gemma":[0.9805281,0.01553135,0.001713686,0.0006058572,0.0008687124,0.0007523501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001460862,0.0008985773,0.3342764,0.0004728207,0.0003560639,0.002069703,0.001450114,0.5406432,0.002692312,0.01022819,0.007329548,0.09812218],"study_design_scores_gemma":[0.0000209684,0.00009705745,0.01282599,0.00001989118,0.00004445153,0.0003279534,0.0004016226,0.975492,0.0004944623,0.009643013,0.0006165209,0.00001601905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335678,0.001253602,0.05987113,0.001333144,0.0001644226,0.0001258233,0.001528425,0.0002540071,0.00190171],"genre_scores_gemma":[0.9947048,0.0002343611,0.003542243,0.00004727242,0.0001048116,0.00002821282,0.0006130725,0.00001100071,0.0007141991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009640301,"threshold_uncertainty_score":0.01916838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2501123166","doi":"10.1016/j.pmcj.2016.07.007","title":"An energy efficient Reinforcement Learning based Cooperative Channel Sensing for Cognitive Radio Sensor Networks","year":2016,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Manitoba","keywords":"Cognitive radio; Computer science; Reinforcement learning; Channel (broadcasting); Markov decision process; Wireless sensor network; Energy (signal processing); Benchmark (surveying); Partially observable Markov decision process; Convergence (economics); Wireless; Markov chain; Real-time computing; Markov process; Markov model; Computer network; Telecommunications; Artificial intelligence; Machine learning","authors":[{"name":"Ibrahim Mustapha","is_ca":false},{"name":"Borhanuddin Mohd Ali","is_ca":false},{"name":"Aduwati Sali","is_ca":false},{"name":"Mohd Fadlee A. Rasid","is_ca":false},{"name":"Hafizal Mohamad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01201419630183442,"gpt":0.2419052567693607,"spread":0.2298910604675263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008113238,0.0004176536,0.0007966206,0.0002417591,0.0004267787,0.0005255771,0.001138594,0.0006208902,0.001039398],"category_scores_gemma":[0.001893283,0.0002324298,0.0002978128,0.000241758,0.0005843705,0.0005508843,0.0009491317,0.0006556823,0.0001397933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005321517,"about_ca_system_score_gemma":0.001127423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005184172,"about_ca_topic_score_gemma":0.005963553,"domain_scores_codex":[0.9994681,0.0001386335,0.00002295834,0.0001166441,0.0001786788,0.00007482443],"domain_scores_gemma":[0.9992502,0.0004032141,0.00005442458,0.00005307746,0.0001923847,0.00004667553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002888002,0.0002391481,0.0007332864,0.00007667097,0.00006743398,0.0001424454,0.0001105875,0.877317,0.01120658,0.0081205,0.001302915,0.1003946],"study_design_scores_gemma":[0.000009391972,0.00003153055,0.0000520892,0.000001583561,0.000004885179,0.00001559706,0.000003954064,0.9986589,0.0004618405,0.0006476016,0.0001095595,0.000003085166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04148661,0.0003096918,0.9544809,0.0001708709,0.0001008692,0.00007484764,0.0000203261,0.0002761792,0.003079596],"genre_scores_gemma":[0.949526,0.00008943734,0.0487694,0.0000869365,0.00002851341,0.00006605434,0.00001736867,0.00001554363,0.001400776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005184172,"threshold_uncertainty_score":0.01030797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955844827","doi":"10.1016/j.pmcj.2019.101045","title":"An incremental learning method based on formal concept analysis for pattern recognition in nonstationary sensor-based smart environments","year":2019,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer science; Retraining; Streaming data; Concept drift; Adaptation (eye); Machine learning; Incremental learning; Artificial intelligence; Activity recognition; Data mining; Data stream mining","authors":[{"name":"Jianguo Hao","is_ca":true},{"name":"Abdenour Bouzouane","is_ca":true},{"name":"Sébastien Gaboury","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01939411175246113,"gpt":0.2921229478228359,"spread":0.2727288360703748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128598,0.000504354,0.0007752709,0.001415904,0.0004458867,0.001000525,0.002079714,0.0005036888,0.003072675],"category_scores_gemma":[0.005336152,0.0003652258,0.001173449,0.0009935166,0.0006806932,0.001978101,0.001290404,0.001225877,0.0005606747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945343,"about_ca_system_score_gemma":0.00128323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003378673,"about_ca_topic_score_gemma":0.003892753,"domain_scores_codex":[0.9990296,0.0001914164,0.00008469472,0.0002338432,0.000390446,0.00007005547],"domain_scores_gemma":[0.9977511,0.001290731,0.0001252064,0.0002300655,0.0005403588,0.00006252596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001937552,0.0002557086,0.002000019,0.000314167,0.0001482971,0.0002269181,0.0003489361,0.08789656,0.01283085,0.07482263,0.003883166,0.817079],"study_design_scores_gemma":[0.00002356335,0.0000527437,0.0002699487,0.00001563581,0.00003847362,0.00009500197,0.00002953714,0.9692638,0.003313875,0.02441892,0.002462193,0.00001622817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00209232,0.00004002103,0.9970489,0.00002995442,0.00002048202,0.00002893591,0.00002533923,0.0004774373,0.0002366971],"genre_scores_gemma":[0.1116801,0.000106233,0.8863686,0.00007852138,0.00003424752,0.0001801372,0.0002188774,0.0001067966,0.001226493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003378673,"threshold_uncertainty_score":0.01027912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069619006","doi":"10.1016/j.pmcj.2013.09.006","title":"RRACE: Robust realtime algorithm for cadence estimation","year":2013,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Cadence; Computer science; A priori and a posteriori; Accelerometer; Orientation (vector space); Algorithm; Real-time computing; Latency (audio); Robustness (evolution); Artificial intelligence; Telecommunications","authors":[{"name":"Idin Karuei","is_ca":true},{"name":"Oliver Schneider","is_ca":true},{"name":"Bryan Stern","is_ca":true},{"name":"Michelle Chuang","is_ca":true},{"name":"Karon E. MacLean","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02472203923105641,"gpt":0.2670118799789327,"spread":0.2422898407478763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009440585,0.001386968,0.001246542,0.00178465,0.0004623604,0.00124234,0.002460852,0.001624127,0.01467452],"category_scores_gemma":[0.003115302,0.0006604965,0.0007273943,0.001182004,0.0003821942,0.001459044,0.001343858,0.0016365,0.006333863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608279,"about_ca_system_score_gemma":0.00116206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003972338,"about_ca_topic_score_gemma":0.006040602,"domain_scores_codex":[0.9989495,0.000118934,0.00005096424,0.0002948286,0.0004996929,0.00008610939],"domain_scores_gemma":[0.999326,0.000186973,0.00006512051,0.0001672295,0.000218559,0.00003606404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002878292,0.00008515673,0.0003932924,0.0001198978,0.00005226006,0.00004854454,0.00004750171,0.02450169,0.02456305,0.003462675,0.01108037,0.9353576],"study_design_scores_gemma":[0.0001106534,0.000196984,0.000924466,0.0000390779,0.00003426099,0.0002819771,0.00004135353,0.9345524,0.03517462,0.003471914,0.02512165,0.00005067803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001442628,0.0001759045,0.9938784,0.00003519109,0.00005893568,0.00003704838,0.00007612135,0.003726592,0.0005692542],"genre_scores_gemma":[0.04373517,0.0001744154,0.950426,0.0001030944,0.00005956593,0.0001511004,0.0005343024,0.0005487766,0.004267568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01467452,"threshold_uncertainty_score":0.04909116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W62903990","doi":"10.1016/j.pmcj.2010.07.007","title":"Designing hierarchical sensor networks with mobile data collectors","year":2010,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Computer science; Node (physics); Heuristic; Wireless sensor network; Computer network; Scheme (mathematics); Travelling salesman problem; Integer (computer science); Trajectory; Algorithm; Mathematics; Artificial intelligence","authors":[{"name":"Ataul Bari","is_ca":true},{"name":"Ying Chen","is_ca":true},{"name":"Debashis Roy","is_ca":true},{"name":"Arunita Jaekel","is_ca":true},{"name":"Subir Bandyopadhyay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01453152708505341,"gpt":0.243341270929747,"spread":0.2288097438446936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001117088,0.0005385235,0.000570578,0.0004536047,0.0008547153,0.0008655652,0.001645858,0.0005489052,0.0009528734],"category_scores_gemma":[0.002371307,0.0008390193,0.0004866187,0.0005448156,0.0006247783,0.001428747,0.001408794,0.0006492544,0.0003621703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007529003,"about_ca_system_score_gemma":0.0007891211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118891,"about_ca_topic_score_gemma":0.003523819,"domain_scores_codex":[0.9995215,0.0001543111,0.00003896089,0.0001030143,0.0001164157,0.00006580425],"domain_scores_gemma":[0.9991832,0.0003203698,0.0001083151,0.0001314483,0.0001874208,0.00006933538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003679282,0.0001531297,0.004999094,0.0006287553,0.0001641937,0.0003793093,0.0007129306,0.657585,0.1304996,0.05675238,0.003140942,0.1446167],"study_design_scores_gemma":[0.00004313064,0.0002150687,0.000584615,0.00003379985,0.00009622586,0.0001386312,0.0001935322,0.9426684,0.03295844,0.01490011,0.008140705,0.00002741427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02558496,0.0003113506,0.971858,0.0001475677,0.00004554754,0.0001085069,0.0000260764,0.0003976364,0.001520345],"genre_scores_gemma":[0.4807411,0.0005881572,0.5147814,0.0001398157,0.00007951849,0.0002529891,0.00008573991,0.0001249154,0.00320638],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001645858,"threshold_uncertainty_score":0.005907834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396835520","doi":"10.1016/j.pmcj.2024.101936","title":"An efficient estimator for source localization in WSNs using RSSD and TDOA measurements","year":2024,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Multilateration; Computer science; Estimator; Linearization; Algorithm; Reduction (mathematics); Set (abstract data type); Mathematical optimization; Mathematics; Statistics; Nonlinear system; Azimuth","authors":[{"name":"Yuanyuan Zhang","is_ca":false},{"name":"T. Aaron Gulliver","is_ca":true},{"name":"Huafeng Wu","is_ca":false},{"name":"Xiaojun Mei","is_ca":false},{"name":"Jiping Li","is_ca":false},{"name":"Fuqiang Lu","is_ca":false},{"name":"Weijun Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02435762847504868,"gpt":0.2843369510205622,"spread":0.2599793225455135,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005132219,0.0007597484,0.001121746,0.0007865165,0.0002653962,0.0008083659,0.0007947633,0.0006150365,0.001063066],"category_scores_gemma":[0.001904398,0.0004502634,0.0005185671,0.0010762,0.0003060087,0.0009675628,0.0008617603,0.0007453454,0.001154771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571243,"about_ca_system_score_gemma":0.000803175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041546,"about_ca_topic_score_gemma":0.003407781,"domain_scores_codex":[0.9995126,0.00008440699,0.00003207436,0.0001034144,0.0002396974,0.00002781725],"domain_scores_gemma":[0.9994856,0.0001861691,0.00005727352,0.00008385385,0.0001689621,0.00001807432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003346809,0.000155864,0.003029271,0.0003255397,0.0002092066,0.0001504918,0.00008653374,0.2451803,0.1055708,0.0104138,0.00439455,0.6301489],"study_design_scores_gemma":[0.00003780622,0.0001029505,0.001540283,0.00002292392,0.00007029995,0.0003216101,0.00002461964,0.9703051,0.01966662,0.002434192,0.005439265,0.00003431231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004246551,0.0002539,0.9945089,0.00003091505,0.00006868929,0.00001282578,0.00004291597,0.0005041947,0.0003311762],"genre_scores_gemma":[0.2351961,0.0008766378,0.7589672,0.00007593226,0.0001774151,0.0001164785,0.0004962897,0.0001119502,0.003982069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002041546,"threshold_uncertainty_score":0.004059255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2496331279","doi":"10.1016/j.pmcj.2016.06.019","title":"Automatic rule generation using crowdsourcing for better relationship type discovery","year":2016,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Crowdsourcing; Correctness; Data mining; Key (lock); Task (project management); Set (abstract data type); Popularity; Context (archaeology); Data science; Knowledge extraction; Focus (optics); Information retrieval; Machine learning; World Wide Web","authors":[{"name":"Elie Raad","is_ca":true},{"name":"Richard Chbeir","is_ca":false},{"name":"Albert Dipandà","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05281647897310366,"gpt":0.2872287686568223,"spread":0.2344122896837187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00484693,0.001520359,0.002232292,0.007607936,0.002196171,0.00313967,0.005252148,0.002872591,0.006802907],"category_scores_gemma":[0.02441094,0.0008338248,0.003086828,0.004992196,0.0009250442,0.003042949,0.003085596,0.003155701,0.004202713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163499,"about_ca_system_score_gemma":0.002743472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009878438,"about_ca_topic_score_gemma":0.01907131,"domain_scores_codex":[0.9934821,0.001447301,0.0005400383,0.001713418,0.002421055,0.0003960411],"domain_scores_gemma":[0.9793981,0.0120036,0.0005876673,0.003937443,0.003642576,0.0004306627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008576345,0.001162223,0.01712858,0.0007929648,0.0005634893,0.002141585,0.0008168314,0.05014173,0.02473074,0.01175042,0.04105838,0.8488555],"study_design_scores_gemma":[0.0001536551,0.00009257301,0.002728086,0.0001408845,0.0002005377,0.000675176,0.0004082246,0.9223869,0.01525122,0.04293345,0.01495177,0.00007747138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07332111,0.0009828408,0.9030834,0.00114367,0.0008866779,0.001010554,0.006049724,0.007906888,0.005615069],"genre_scores_gemma":[0.2898491,0.0003411697,0.689536,0.0005455638,0.0002977507,0.0004851187,0.01243771,0.0006172357,0.005890381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009878438,"threshold_uncertainty_score":0.02563334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404630431","doi":"10.1016/j.pmcj.2024.101998","title":"Three-dimensional spectrum coverage gap map construction in cellular networks: A non-linear estimation approach","year":2024,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"American University in Cairo","keywords":"Computer science; Estimation; Spectrum (functional analysis); Algorithm; Artificial intelligence","authors":[{"name":"Ahmed Fahim Mostafa","is_ca":true},{"name":"Mohamed Abdel-Kader","is_ca":false},{"name":"Yasser Gadallah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008490049712022482,"gpt":0.21699121483097,"spread":0.2085011651189475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004540371,0.0005479445,0.0004719171,0.0006117714,0.0002447328,0.0007267586,0.0007698496,0.0005589134,0.0007042358],"category_scores_gemma":[0.001955715,0.000394939,0.0004453046,0.0005471848,0.0004304436,0.0007682428,0.0006877276,0.0005945706,0.0001555733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000651105,"about_ca_system_score_gemma":0.0006009369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008545882,"about_ca_topic_score_gemma":0.005357698,"domain_scores_codex":[0.9997348,0.00009039562,0.00001078236,0.00005755169,0.00007156333,0.00003499706],"domain_scores_gemma":[0.9993223,0.0004031449,0.00009499673,0.00004411035,0.0001148589,0.0000206317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004054805,0.0000193652,0.001054285,0.00004596809,0.00001709387,0.00007239454,0.00006739739,0.9574801,0.002144161,0.003620791,0.0002280201,0.03520982],"study_design_scores_gemma":[6.718489e-7,0.00000581949,0.0001339267,0.000002017992,0.000001998011,0.000009075333,0.000006750308,0.998875,0.0003428892,0.0005170663,0.0001025917,0.000002322903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01532107,0.0001478148,0.9835376,0.0000758013,0.000006127746,0.00001558615,0.00002486281,0.0001586883,0.0007124042],"genre_scores_gemma":[0.8486114,0.0004743322,0.1488493,0.00005426111,0.00003141434,0.00009867768,0.0001438076,0.00004316355,0.001693577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008545882,"threshold_uncertainty_score":0.01699227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2283876600","doi":"10.1016/j.pmcj.2012.07.004","title":"Special Section on mobile interaction with the real world","year":2012,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Special section; Section (typography); Human–computer interaction; World Wide Web; Operating system","authors":[{"name":"Enrico Rukzio","is_ca":false},{"name":"Paul Holleis","is_ca":false},{"name":"Derek Reilly","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01423660086660365,"gpt":0.2445480674206122,"spread":0.2303114665540086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001421725,0.002718135,0.002798164,0.003352303,0.00185664,0.00358567,0.002148095,0.006117058,0.05024224],"category_scores_gemma":[0.002615573,0.0006058473,0.001784942,0.001614729,0.001198497,0.002602133,0.002276431,0.004314167,0.02080216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050664,"about_ca_system_score_gemma":0.0009155301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006833754,"about_ca_topic_score_gemma":0.002501216,"domain_scores_codex":[0.9990135,0.0001301713,0.0001027183,0.00024195,0.0003648111,0.0001467333],"domain_scores_gemma":[0.9962999,0.001288534,0.0002168501,0.0002336746,0.001149632,0.0008112921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001057132,0.0001127937,0.0002471004,0.0006137915,0.00004039088,0.000504342,0.00003531904,0.0001772764,0.001094701,0.002491602,0.9465,0.04807697],"study_design_scores_gemma":[0.00001262782,0.000127761,0.000743194,0.0002421443,0.00002819173,0.0006836546,0.00003248883,0.0002240507,0.0002161116,0.001251602,0.9964241,0.0000139845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0006563934,0.02450642,0.002347569,0.01384975,0.9181969,0.00009673168,0.0001483719,0.0001900509,0.04000792],"genre_scores_gemma":[0.003164372,0.02621651,0.0006692079,0.0103071,0.8310693,0.0001431893,0.0002566365,0.0001975997,0.1279761],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05024224,"threshold_uncertainty_score":0.1680771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}