{"id":"W2462848437","doi":"10.1136/bmj.i3668","title":"Authors’ reply to Gallagher and Winocour","year":2016,"lang":"en","type":"letter","venue":"BMJ","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Computer science; Data science; World Wide Web","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":[0.00701829,0.0009346887,0.001945266,0.001126105,0.003810282,0.003548216,0.002838073,0.04715034,0.009074964],"category_scores_gemma":[0.05321496,0.001177473,0.001315148,0.001096235,0.004062323,0.005605532,0.002233187,0.05158389,0.009528644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003321575,"about_ca_system_score_gemma":0.003268412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003126071,"about_ca_topic_score_gemma":0.003621274,"domain_scores_codex":[0.9955403,0.001518172,0.0005571232,0.0006044338,0.001336485,0.0004435392],"domain_scores_gemma":[0.9812919,0.01076923,0.001647658,0.0007701589,0.003407458,0.002113596],"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":[0.00005515075,0.00001055827,0.0003000687,0.00004828673,0.00001152732,0.0007850663,0.0001272872,0.00002060391,0.00005193979,0.0008194485,0.9949581,0.002812012],"study_design_scores_gemma":[0.000206025,0.00008926952,0.001731207,0.0006686572,0.00005791968,0.005513201,0.0008623299,0.0003704239,0.0004152525,0.01000351,0.9798827,0.0001995402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001638731,0.001033419,0.00003684929,0.9802417,0.01796202,0.000005529621,0.00003047813,0.00002035621,0.0005058874],"genre_scores_gemma":[0.002363563,0.0005779304,0.00009460079,0.9674109,0.02761851,0.00002395514,0.00001812559,0.00002283225,0.001869602],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04715034,"threshold_uncertainty_score":0.03711665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423220430959131,"score_gpt":0.2804242388990748,"score_spread":0.2661920345894834,"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."}}