{"id":"W2886581521","doi":"","title":"Machine Doctor: The Threat to Established Medicine from Machine Learning","year":2017,"lang":"en","type":"article","venue":"UBC Faculty of Medicine medical journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Looming; Medical practice; Clinical Practice; Medicine; Artificial intelligence; Psychology; Medical education; Computer science; Family medicine; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.04591857,0.0007197795,0.0013701,0.0026676,0.007793372,0.01239904,0.002036035,0.01698251,0.01670431],"category_scores_gemma":[0.09352484,0.0005379182,0.0008429142,0.00139404,0.04768461,0.02693418,0.01083266,0.03808511,0.008425337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005412591,"about_ca_system_score_gemma":0.00906428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115599,"about_ca_topic_score_gemma":0.005206747,"domain_scores_codex":[0.9785116,0.009795437,0.0007415705,0.002008789,0.007571099,0.001371441],"domain_scores_gemma":[0.9139208,0.05428245,0.003397715,0.007909508,0.01005133,0.01043819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000141761,0.00009060527,0.001639415,0.0002789008,0.00003567809,0.0002312573,0.001689704,0.0002568771,0.0002561926,0.6351708,0.2656129,0.09459586],"study_design_scores_gemma":[0.00005504459,0.0001265265,0.001208244,0.001222963,0.00001354496,0.0005103563,0.001500402,0.000518261,0.0002682796,0.5453442,0.4491579,0.00007427573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001039534,0.01603526,0.002938731,0.9579226,0.004472504,0.00001068768,0.00006095816,0.00005428716,0.01746542],"genre_scores_gemma":[0.1624034,0.04950914,0.01110716,0.7158664,0.03550094,0.0001323813,0.0001617575,0.0003333749,0.02498548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9922066,"threshold_uncertainty_score":0.2428435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467168883240567,"score_gpt":0.4586685223541649,"score_spread":0.3119516340301083,"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."}}