{"meta":{"query_hash":"f88cde4015fc","filters":{"venue":"International Journal of Strategic Engineering Asset Management"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/f88cde4015fc","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Strategic+Engineering+Asset+Management"},"results":[{"id":"W1987056569","doi":"10.1504/ijseam.2014.063882","title":"Selective maintenance considering two types of failure modes","year":2014,"lang":"en","type":"article","venue":"International Journal of Strategic Engineering Asset Management","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability engineering; Computer science; Failure rate; Preventive maintenance; Maintenance actions; Proactive maintenance; Optimal maintenance; Planned maintenance; Hazard; Engineering","score_opus":0.008462638889081024,"score_gpt":0.2167799590998934,"score_spread":0.20831732021081237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987056569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15131883,0.00019647472,0.8221474,0.0002943432,0.0015091398,0.00018241716,0.000009545587,0.00013132697,0.024210481],"genre_scores_gemma":[0.971213,0.00018689568,0.028417867,0.000012114123,0.00011364847,0.000003870747,0.0000030434421,0.000018747387,0.00003085321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990449,0.000012708982,0.0004175122,0.00009067067,0.0002863063,0.00014790542],"domain_scores_gemma":[0.9993642,0.000051722818,0.00013361996,0.000099390956,0.00030689905,0.000044181368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028899038,0.0001310402,0.00019781808,0.00022015687,0.0000107092255,0.000042541986,0.00026002165,0.00003533673,0.000014075277],"category_scores_gemma":[0.000033519216,0.00012353605,0.00008079904,0.00011466599,0.000020486441,0.00020705466,0.000027902684,0.00016402511,0.0000026745386],"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":[0.000012413344,0.000017582504,0.0000658516,0.000090449714,0.00027918234,0.000012153943,0.000040402992,0.94810414,0.0026318736,0.047530677,0.00023714913,0.0009781357],"study_design_scores_gemma":[0.0009945795,0.00008404784,0.0005782871,0.0005048374,0.000049036797,0.000067346446,0.00025564936,0.9822933,0.0055072643,0.007344995,0.002093052,0.00022761128],"about_ca_topic_score_codex":0.00000372991,"about_ca_topic_score_gemma":0.0000029048058,"teacher_disagreement_score":0.81989413,"about_ca_system_score_codex":0.00011297639,"about_ca_system_score_gemma":0.0000116268775,"threshold_uncertainty_score":0.5037654},"labels":[],"label_agreement":null},{"id":"W2038362187","doi":"10.1504/ijseam.2014.063883","title":"Condition-based maintenance of wind power generation systems considering different turbine types and lead times","year":2014,"lang":"en","type":"article","venue":"International Journal of Strategic Engineering Asset Management","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Lead (geology); Turbine; Wind power; Environmental science; Reliability engineering; Computer science; Engineering; Electrical engineering; Geology; Mechanical engineering","score_opus":0.011673499869427473,"score_gpt":0.24642135084641895,"score_spread":0.23474785097699147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038362187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8846584,0.00043970134,0.110128075,0.0001582645,0.0012969784,0.00018596508,0.000021120379,0.00012380912,0.0029877136],"genre_scores_gemma":[0.9966417,0.00010199465,0.0030437838,0.000017695076,0.00013110331,0.0000069935772,0.000013897818,0.000022136754,0.000020674439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990045,0.00001705035,0.00044780885,0.00009719632,0.00031549367,0.00011798359],"domain_scores_gemma":[0.9994718,0.00007642161,0.00015227449,0.00009867241,0.00015467723,0.00004617682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002194459,0.00015957173,0.00022702839,0.0002870322,0.000011494307,0.00007962505,0.00017626568,0.000042188283,0.000027028123],"category_scores_gemma":[0.000023515067,0.00014398426,0.000053516113,0.00004895106,0.000018180866,0.000120409255,0.000022711092,0.00013433359,0.000001234795],"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":[0.000009660401,0.000051442228,0.0007170224,0.00022091923,0.00044536917,0.000041213098,0.00003042295,0.9436714,0.015729597,0.03729336,0.0013644904,0.0004251233],"study_design_scores_gemma":[0.00093502254,0.00015891423,0.00474424,0.0007790266,0.00006694194,0.000063553925,0.000052827716,0.9751336,0.0154281985,0.00044684144,0.001914849,0.0002759935],"about_ca_topic_score_codex":0.0000050960552,"about_ca_topic_score_gemma":0.0000016045946,"teacher_disagreement_score":0.11198335,"about_ca_system_score_codex":0.00009525148,"about_ca_system_score_gemma":0.0000063893617,"threshold_uncertainty_score":0.58715075},"labels":[],"label_agreement":null},{"id":"W2044362572","doi":"10.1504/ijseam.2013.056327","title":"Seasonal effects on haul truck tyre life","year":2013,"lang":"en","type":"article","venue":"International Journal of Strategic Engineering Asset Management","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Truck; Benchmarking; Durability; Transport engineering; Service life; Productivity; Automotive engineering; Compromise; Engineering; Reliability engineering; Computer science; Forensic engineering; Business","score_opus":0.01205405344140901,"score_gpt":0.21335436517976303,"score_spread":0.20130031173835403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044362572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550146,0.0001809184,0.018415894,0.00055581616,0.003192421,0.00022921538,0.000007674169,0.00027944343,0.022124005],"genre_scores_gemma":[0.99030966,0.00018529815,0.008820032,0.00010238746,0.00044358725,0.0000167823,0.0000050607864,0.00003173796,0.00008548158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991076,0.0000060599928,0.0003463264,0.00009463942,0.00026629178,0.00017907024],"domain_scores_gemma":[0.99955964,0.00004708553,0.00008326411,0.000111901,0.000076546115,0.00012153576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013987416,0.00016538831,0.00017113624,0.00024453562,0.00001227832,0.0001490326,0.00039750568,0.00005179629,0.00017137607],"category_scores_gemma":[0.000010918467,0.00016042915,0.00009893082,0.00005476266,0.00000584152,0.00019751576,0.00003602193,0.00022758119,0.00006841264],"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":[0.000026708314,0.00008053061,0.00037789045,0.0002802702,0.0016038012,0.00036758522,0.00006799944,0.90066767,0.0010366661,0.043013513,0.030230707,0.022246683],"study_design_scores_gemma":[0.0027135168,0.0006117487,0.024779528,0.0014121133,0.0001294776,0.0002976828,0.00027976738,0.9192037,0.0041905,0.007773763,0.0374154,0.001192806],"about_ca_topic_score_codex":0.0000030057977,"about_ca_topic_score_gemma":2.3853983e-7,"teacher_disagreement_score":0.03529502,"about_ca_system_score_codex":0.0001557515,"about_ca_system_score_gemma":0.000009642433,"threshold_uncertainty_score":0.65421104},"labels":[],"label_agreement":null},{"id":"W2067391523","doi":"10.1504/ijseam.2014.063879","title":"Availability and performability analysis for a service degradation process with condition-based preventive maintenance I - formulation and optimisation","year":2014,"lang":"en","type":"article","venue":"International Journal of Strategic Engineering Asset Management","topic":"Software Reliability and Analysis Research","field":"Computer Science","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":"University of British Columbia","funders":"","keywords":"Reliability engineering; Preventive maintenance; Degradation (telecommunications); Computer science; Process (computing); Service (business); Engineering; Business; Operating system; Telecommunications","score_opus":0.016084254271671757,"score_gpt":0.274501457626562,"score_spread":0.2584172033548902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067391523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40069294,0.0000068615245,0.5986351,0.00047525193,0.000023935909,0.00012026842,0.0000030672124,0.000012150092,0.000030470532],"genre_scores_gemma":[0.9519714,0.000010662161,0.04791373,0.000028426743,0.000021144579,0.000021945249,0.000022121128,0.0000035066205,0.000007045216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988958,0.00003627598,0.00031724435,0.00020809818,0.00043110372,0.000111430214],"domain_scores_gemma":[0.9985131,0.00022155883,0.00021594886,0.00013130094,0.0008591455,0.000058945592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010723978,0.00009955512,0.00016202725,0.00032076705,0.00004892744,0.00021135288,0.00026346577,0.000028102288,0.0000034300222],"category_scores_gemma":[0.00007582704,0.00008127089,0.000058672198,0.00036870773,0.00001840526,0.0006006302,0.00003279541,0.000085981825,2.0995e-7],"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":[0.00012928898,0.00015033997,0.032453023,0.00045746137,0.0011859492,0.0000033038077,0.00020516397,0.93260235,0.00007891478,0.025505967,0.000003477146,0.0072247465],"study_design_scores_gemma":[0.00065097713,0.00012632659,0.07967446,0.000060816903,0.000120301665,0.0000054111124,0.00007485431,0.9150874,0.000121353056,0.003967602,0.00002427987,0.00008621896],"about_ca_topic_score_codex":0.000008935916,"about_ca_topic_score_gemma":0.000009454751,"teacher_disagreement_score":0.5512785,"about_ca_system_score_codex":0.00009736807,"about_ca_system_score_gemma":0.00003600303,"threshold_uncertainty_score":0.3314131},"labels":[],"label_agreement":null},{"id":"W3038487624","doi":"10.1504/ijseam.2019.10030326","title":"Risk-informed decision-making in asset management as a complex adaptive system of systems","year":2019,"lang":"en","type":"article","venue":"International Journal of Strategic Engineering Asset Management","topic":"Risk and Safety Analysis","field":"Decision Sciences","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":"Université du Québec à Trois-Rivières; Hydro-Québec","funders":"","keywords":"Risk analysis (engineering); Asset (computer security); Context (archaeology); Order (exchange); Complex adaptive system; Process (computing); Asset management; Decision engineering; Business decision mapping; Complex system; Risk management; Management science; Business; Computer science; Decision support system; Process management; Economics; Finance","score_opus":0.0467740162530468,"score_gpt":0.34634763510278377,"score_spread":0.299573618849737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038487624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7539911,0.0003143132,0.17307894,0.00017799174,0.0036144096,0.0006793647,0.00006605571,0.00004203079,0.06803579],"genre_scores_gemma":[0.9876848,0.0003116437,0.011685166,0.000011622159,0.000079756,0.000007747291,0.000004355211,0.000014901975,0.00020004649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940153,0.00011231896,0.002105779,0.00031622482,0.0031801222,0.00027027266],"domain_scores_gemma":[0.99632585,0.00093605195,0.0015495371,0.00041513675,0.0006794869,0.00009392764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248958,0.00023982882,0.0006453573,0.0020773564,0.00003131236,0.0003170601,0.0016993082,0.00006926966,0.00012591093],"category_scores_gemma":[0.00015275122,0.00019082076,0.0003254802,0.00085756375,0.000021555785,0.00048016774,0.00025165165,0.00027717082,0.00010964953],"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":[0.00022938036,0.0000798739,0.0040178453,0.000080409955,0.0010978276,0.0005307385,0.000120732904,0.910076,0.00001875327,0.0744336,0.00030496504,0.009009847],"study_design_scores_gemma":[0.0026976503,0.00031399616,0.08725171,0.00323317,0.0002237866,0.00024203195,0.02401699,0.86925703,0.0000131355955,0.009349519,0.002931862,0.00046910092],"about_ca_topic_score_codex":0.00005733032,"about_ca_topic_score_gemma":0.000013968803,"teacher_disagreement_score":0.23369366,"about_ca_system_score_codex":0.00049387466,"about_ca_system_score_gemma":0.000054337877,"threshold_uncertainty_score":0.7781445},"labels":[],"label_agreement":null}]}