{"id":"W4210285719","doi":"10.32920/19008740","title":"Impact of Artificial Intelligence on Professional Autonomy of Pathologists","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Autonomy; Psychological intervention; Clinical Practice; Psychology; Perspective (graphical); Curriculum; Process (computing); Medical education; Medicine; Engineering ethics; Nursing; Pedagogy; Political science; Computer science; Artificial intelligence; Engineering; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03696828,0.0002314171,0.0002406764,0.001358661,0.003934101,0.007070384,0.0007349174,0.001706735,0.004198297],"category_scores_gemma":[0.1389961,0.0002519442,0.0004571177,0.0005355317,0.01452631,0.002947639,0.006147294,0.00340212,0.0006013305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004597851,"about_ca_system_score_gemma":0.006686758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901768,"about_ca_topic_score_gemma":0.001773822,"domain_scores_codex":[0.9023992,0.07707649,0.001820659,0.002996654,0.01269596,0.003011019],"domain_scores_gemma":[0.7057977,0.2156457,0.02810382,0.01647937,0.02004325,0.01393015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001003265,0.0008661817,0.1829664,0.0005171941,0.0001771636,0.001791002,0.2734369,0.004018521,0.005215531,0.2782449,0.01821987,0.2335431],"study_design_scores_gemma":[0.0003675144,0.0006384106,0.1276532,0.0009959996,0.0001401812,0.002219487,0.1699201,0.01126491,0.008289827,0.5292795,0.1489913,0.0002395922],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7129371,0.001204924,0.01637403,0.08307835,0.0003835463,0.00009354788,0.00006167349,0.00008437447,0.1857824],"genre_scores_gemma":[0.9942173,0.000155214,0.001529425,0.002525064,0.00005474829,0.00001629354,0.00001185446,0.00001488678,0.001475171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03696828,"threshold_uncertainty_score":0.1955093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3061015031167076,"score_gpt":0.5280758754185297,"score_spread":0.2219743723018221,"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."}}