{"id":"W4385422668","doi":"10.1503/cmaj.221836","title":"Defeat","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectacle; Computer science; Artificial intelligence; Computer graphics (images); Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001854116,0.0007861846,0.00041894,0.0007624341,0.009352072,0.006413616,0.001018512,0.003993858,0.1972819],"category_scores_gemma":[0.008248138,0.0002761969,0.0004814062,0.0004468577,0.003302063,0.002842928,0.004179078,0.005861931,0.09716767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006238258,"about_ca_system_score_gemma":0.007367827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06311179,"about_ca_topic_score_gemma":0.08971102,"domain_scores_codex":[0.9968216,0.0003955877,0.00007374604,0.0004859281,0.001195129,0.001027989],"domain_scores_gemma":[0.9964562,0.0002020185,0.0001489551,0.000303752,0.001627461,0.001261584],"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":[0.0000302475,0.00001675437,0.000556563,0.00002439328,0.00000559476,0.00009099828,0.0007199415,0.00002238658,0.0001858912,0.05243663,0.9235193,0.02239143],"study_design_scores_gemma":[0.000002023257,0.000008372943,0.0003418745,0.00003365583,0.000001187815,0.00006407107,0.0003879958,0.00001250457,0.00004278564,0.001480051,0.9976205,0.000004845749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002830982,0.0007839919,0.001090081,0.05604362,0.005471162,0.00006243382,0.0005267842,0.000367362,0.9328235],"genre_scores_gemma":[0.04259974,0.0006518213,0.0006142666,0.04144086,0.0007669309,0.00005251914,0.0005391543,0.0002608296,0.9130739],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9368882,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290596223865793,"score_gpt":0.2794528750461977,"score_spread":0.2665469128075398,"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."}}