{"id":"W4411141116","doi":"10.32920/29274656","title":"Schizophrenia: Proportionality and erasure in Canadian news media","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Erasure; Proportionality (law); Political science; Computer science; Psychology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0111527,0.0005579187,0.0005597365,0.01734771,0.007138219,0.009256859,0.001482828,0.0006698681,0.004038672],"category_scores_gemma":[0.0619355,0.0005333537,0.0005615817,0.01826906,0.004723596,0.002673239,0.004036754,0.0009725639,0.000252849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02632513,"about_ca_system_score_gemma":0.02174989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8319298,"about_ca_topic_score_gemma":0.8714727,"domain_scores_codex":[0.9854791,0.002939941,0.0009266057,0.00143164,0.007598597,0.001624209],"domain_scores_gemma":[0.9381224,0.0279707,0.01448098,0.002450216,0.01497785,0.001997718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000456948,0.0002383043,0.6569841,0.001031369,0.0002991102,0.0005874125,0.2574646,0.0001489693,0.001142146,0.006843721,0.005385452,0.06941793],"study_design_scores_gemma":[0.00001467061,0.00006728841,0.8819845,0.0003490837,0.000123086,0.0002124246,0.1034598,0.0005062504,0.0005402082,0.0004775134,0.01217851,0.00008664789],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746289,0.002419614,0.0006929291,0.001335974,0.00009706994,0.0002561038,0.002246059,0.0000269247,0.01829647],"genre_scores_gemma":[0.9946294,0.0009015447,0.0009672394,0.0001866038,0.00007744009,0.000172842,0.001042883,0.00002259945,0.001999435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680702,"threshold_uncertainty_score":0.33812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398904367095734,"score_gpt":0.3790716371179343,"score_spread":0.335082593446977,"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."}}