{"id":"W2313565031","doi":"10.1056/nejmp1305849","title":"Signal in the Noise","year":2013,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Notice; Rest (music); Noise (video); Medicine; SIGNAL (programming language); Acoustics; Audiology; Speech recognition; Communication; Computer science; Artificial intelligence; Psychology; Cardiology","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":[0.001900044,0.001091278,0.0009772172,0.001617779,0.003368195,0.01063794,0.001107918,0.005642858,0.06510627],"category_scores_gemma":[0.0168634,0.0003945305,0.0006451473,0.001064967,0.005389187,0.005685098,0.004782141,0.006035598,0.03976599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655771,"about_ca_system_score_gemma":0.002154599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002236051,"about_ca_topic_score_gemma":0.002159465,"domain_scores_codex":[0.9967846,0.0009517199,0.0001355275,0.0003681592,0.001365899,0.0003940987],"domain_scores_gemma":[0.9945528,0.001769597,0.0003959203,0.0004978683,0.001853047,0.0009308134],"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":[0.0005872149,0.0001227487,0.00325705,0.00079385,0.0001363601,0.002279419,0.005287145,0.0005270746,0.007994032,0.1151481,0.5962212,0.2676458],"study_design_scores_gemma":[0.00003178655,0.0001506695,0.001739065,0.0007641639,0.00005087286,0.002396225,0.003488288,0.0003076139,0.001531984,0.03493509,0.9545389,0.00006526607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01457642,0.03648362,0.04212397,0.2400464,0.05493788,0.0001311168,0.001003431,0.001893174,0.608804],"genre_scores_gemma":[0.2988498,0.04071494,0.01601554,0.1961286,0.04677376,0.0002171679,0.0009851099,0.001699682,0.3986153],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06510627,"threshold_uncertainty_score":0.2178022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209920508066575,"score_gpt":0.2973104576672609,"score_spread":0.2763184068606034,"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."}}