{"id":"W4385502332","doi":"10.1097/01.asm.0000949628.68525.3c","title":"University of Toronto: Edgy, Dissatisfied, Curious, and Committed","year":2023,"lang":"en","type":"article","venue":"ASA Monitor","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Sociology; Management; Gerontology; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070142,0.0008386481,0.000425733,0.0009021715,0.009275714,0.006391557,0.0007966627,0.002234638,0.16237],"category_scores_gemma":[0.002488887,0.0004867486,0.0001892533,0.001648708,0.002932217,0.001991241,0.003450096,0.002674428,0.02396193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02147449,"about_ca_system_score_gemma":0.0500694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5677101,"about_ca_topic_score_gemma":0.8761665,"domain_scores_codex":[0.9988145,0.0001733666,0.0000436125,0.0001079937,0.0004219482,0.0004386174],"domain_scores_gemma":[0.9947349,0.0001724904,0.0001591403,0.0001348034,0.001121195,0.003677477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001263811,0.00001221279,0.001015055,0.00006645847,0.000001631561,0.0003980944,0.002435909,0.00002470166,0.0001065224,0.004551001,0.9702871,0.02108862],"study_design_scores_gemma":[0.000004023324,0.000009011274,0.004309831,0.0001587787,0.000002437279,0.0002878098,0.00560879,0.00002032526,0.00004687454,0.0004020845,0.9891369,0.00001306222],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01257114,0.03772635,0.000697065,0.2308521,0.01588301,0.00009361518,0.002552994,0.0005907201,0.699033],"genre_scores_gemma":[0.04612567,0.01523619,0.0005177593,0.007830495,0.0008118142,0.0000410207,0.0005268134,0.0001662411,0.928744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4322899,"threshold_uncertainty_score":0.8696715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442602175894422,"score_gpt":0.2196771528145608,"score_spread":0.1952511310556166,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}