{"meta":{"query_hash":"061df4bf40d4","filters":{"venue":"Journal of Mathematics in Industry"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/061df4bf40d4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Mathematics+in+Industry"},"results":[{"id":"W3031181470","doi":"10.1186/s13362-020-00083-3","title":"Quantifying the role of social distancing, personal protection and case detection in mitigating COVID-19 outbreak in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics in Industry","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Social distance; Transmission (telecommunications); Outbreak; Closure (psychology); Distancing; Basic reproduction number; Public health; Coronavirus disease 2019 (COVID-19); Psychological intervention; Control (management); Personal protective equipment; Environmental health; Computer science; Business; Medicine; Economics; Disease; Infectious disease (medical specialty); Virology; Population; Telecommunications","score_opus":0.253563453740008,"score_gpt":0.38044104054393435,"score_spread":0.12687758680392636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031181470","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":[0.9717928,0.0012841354,0.01071167,0.002093127,0.000022615928,0.0002038952,0.0028483334,0.00008243486,0.010961017],"genre_scores_gemma":[0.9955295,0.000315293,0.002413203,0.00004764963,0.000004176766,0.000022903483,0.0005027262,0.0000054512298,0.0011592369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905056,0.00022777423,0.000036529647,0.00011313212,0.00021326228,0.0003586212],"domain_scores_gemma":[0.997162,0.0010699867,0.0005395973,0.000101613485,0.0008722307,0.00025457784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015821214,0.0005138313,0.00044709485,0.00085307093,0.000991342,0.0014657632,0.0010885866,0.00047708652,0.0015422162],"category_scores_gemma":[0.0065551917,0.00022374593,0.00044647368,0.0009433644,0.0010908087,0.000731373,0.00088896847,0.00039815062,0.000095995805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003249651,0.0001720201,0.4632713,0.0005054611,0.00028654843,0.00032543403,0.0010542031,0.47701618,0.00201778,0.015719252,0.0057713753,0.033535488],"study_design_scores_gemma":[0.000067013694,0.00018929978,0.33877635,0.00014391997,0.00019608892,0.00004909021,0.002676333,0.6443041,0.0010898178,0.0057648583,0.0066634254,0.00007973517],"about_ca_topic_score_codex":0.989258,"about_ca_topic_score_gemma":0.98921716,"teacher_disagreement_score":0.044131346,"about_ca_system_score_codex":0.044131346,"about_ca_system_score_gemma":0.0388816,"threshold_uncertainty_score":0.3201968},"labels":[],"label_agreement":null},{"id":"W3110352068","doi":"10.1186/s13362-020-00096-y","title":"Quantifying the shift in social contact patterns in response to non-pharmaceutical interventions","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics in Industry","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada; Fields Institute for Research in Mathematical Sciences; University of Toronto; York University","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Social distance; Psychological intervention; Pandemic; Public health; Mixing patterns; Transmission (telecommunications); Environmental health; Medicine; Coronavirus disease 2019 (COVID-19); Mixing (physics); Infectious disease (medical specialty); Computer science; Disease; Nursing","score_opus":0.6272921355707621,"score_gpt":0.5478806472482831,"score_spread":0.07941148832247902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110352068","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":[0.9884631,0.00035511047,0.007468653,0.00021256549,0.0000063879356,0.000110075256,0.0014815008,0.000030313742,0.0018722174],"genre_scores_gemma":[0.99541545,0.00020168611,0.0030362983,0.00004406038,0.00000380309,0.000043332882,0.000747919,0.0000031842746,0.00050419726],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991855,0.0002916069,0.000045063793,0.00015192025,0.00020123746,0.00012480399],"domain_scores_gemma":[0.9983235,0.00059712096,0.0005862896,0.00013674043,0.00026874774,0.00008760405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011484317,0.0003060452,0.00028028738,0.0005524784,0.0004018065,0.00048137273,0.00048612145,0.00029214832,0.00096047233],"category_scores_gemma":[0.0053745178,0.00014689853,0.00039115295,0.0007542813,0.00039530735,0.00036198032,0.00047414575,0.0003155533,0.00012933019],"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":[0.0002517587,0.00013316923,0.92887986,0.00024789528,0.00029183418,0.00010919126,0.0010224544,0.020279013,0.004827902,0.0010223106,0.00064279244,0.042291775],"study_design_scores_gemma":[0.000009299421,0.00016158972,0.9650133,0.000023517005,0.000056835088,0.00003516088,0.0006321415,0.031270884,0.0009656765,0.0006380766,0.0011794773,0.000014034919],"about_ca_topic_score_codex":0.40494105,"about_ca_topic_score_gemma":0.5339299,"teacher_disagreement_score":0.40494105,"about_ca_system_score_codex":0.0026875571,"about_ca_system_score_gemma":0.002303769,"threshold_uncertainty_score":0.80516803},"labels":[],"label_agreement":null}]}