{"id":"W4313437257","doi":"10.1136/bmj.o3042","title":"Authors’ reply to Smith, Johnson, and Gray and Jani","year":2023,"lang":"en","type":"letter","venue":"BMJ","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women in Science and Engineering Newfoundland and Labrador; University of Toronto","funders":"","keywords":"Gray (unit); Computer science; Data science; Medicine","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":[0.00628039,0.0009422905,0.00204388,0.001584103,0.00750371,0.00692159,0.002549872,0.1035759,0.01282424],"category_scores_gemma":[0.05174921,0.001526599,0.00174223,0.001596856,0.004198263,0.00438109,0.002674232,0.06707127,0.01109081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008264283,"about_ca_system_score_gemma":0.0105125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220131,"about_ca_topic_score_gemma":0.03137399,"domain_scores_codex":[0.9933594,0.001423458,0.0009974682,0.0007589554,0.002352151,0.00110864],"domain_scores_gemma":[0.9764865,0.01213242,0.001975852,0.0005848049,0.004663358,0.004156971],"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":[0.00002959388,0.000009044001,0.0002350871,0.00003031585,0.000008143596,0.0002891855,0.0001150336,0.00001310709,0.00002706292,0.0007009041,0.997499,0.00104347],"study_design_scores_gemma":[0.0001440982,0.00004737652,0.00227994,0.000667766,0.0000542262,0.0008932535,0.001758378,0.0002750075,0.0001811936,0.005989274,0.9875839,0.0001254883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001231819,0.0004544401,0.00002254005,0.9768217,0.02128415,0.000009096538,0.00005222917,0.00001068869,0.001221941],"genre_scores_gemma":[0.001011874,0.0003006036,0.00004944188,0.9745798,0.02010107,0.00002978128,0.00001903321,0.00001179072,0.003896585],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1035759,"threshold_uncertainty_score":0.05996192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6004128211243688,"score_gpt":0.5677905440659753,"score_spread":0.03262227705839349,"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."}}