{"id":"W2232300007","doi":"10.1503/cmaj.1150077","title":"Detection of abnormalities is not synonymous with patient benefit","year":2016,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Medicine; Bioinformatics; Data science; Information retrieval; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002404141,0.0004082264,0.0009383953,0.0007539252,0.001585493,0.00159525,0.0009815468,0.0118128,0.005171049],"category_scores_gemma":[0.0421791,0.0002971361,0.00044595,0.0006423875,0.002928798,0.003502773,0.001104344,0.0143239,0.00364431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741073,"about_ca_system_score_gemma":0.00146806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113571,"about_ca_topic_score_gemma":0.002675097,"domain_scores_codex":[0.9972649,0.001053055,0.0003500663,0.0002638647,0.0008364029,0.0002317929],"domain_scores_gemma":[0.9865909,0.008038658,0.001192871,0.000462145,0.002032457,0.001683015],"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":[0.0002926002,0.0002408048,0.0344862,0.000424832,0.00006736412,0.0668415,0.0008077309,0.0004953294,0.001818952,0.02490587,0.7239009,0.145718],"study_design_scores_gemma":[0.0001983263,0.0007557682,0.03048414,0.00408448,0.0001062537,0.3101132,0.002823495,0.002727541,0.001529049,0.1422758,0.5045599,0.0003420078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006424548,0.005465492,0.001055487,0.9661683,0.006952627,0.00001889265,0.00005057164,0.00005308862,0.01381094],"genre_scores_gemma":[0.2192603,0.01286733,0.004175647,0.668515,0.08832532,0.00006033978,0.0001367307,0.00008202556,0.006577386],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0118128,"threshold_uncertainty_score":0.01729894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00819948962837874,"score_gpt":0.202070972530259,"score_spread":0.1938714829018802,"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."}}