{"id":"W3122916138","doi":"10.1136/bmj.n177","title":"Authors’ reply to Soljak, Robson and colleagues, and Kelly","year":2021,"lang":"en","type":"letter","venue":"BMJ","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Institute for Health and Care Research","keywords":"Socioeconomic status; Context (archaeology); Social class; Social media; Coronavirus disease 2019 (COVID-19); Class (philosophy); Sociology; Psychology; Medicine; Gerontology; Computer science; Political science; World Wide Web; History; Demography; Pathology; Artificial intelligence; Population; Law","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":[0.005060956,0.0008823394,0.001688681,0.001012196,0.004088543,0.003473255,0.002359867,0.04453617,0.009919156],"category_scores_gemma":[0.04769176,0.001123384,0.001153393,0.0008512402,0.00342984,0.005567556,0.002061512,0.05396526,0.01242848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003956888,"about_ca_system_score_gemma":0.004946873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006827126,"about_ca_topic_score_gemma":0.007848341,"domain_scores_codex":[0.9959099,0.00117895,0.0004793023,0.000442258,0.001483891,0.0005057398],"domain_scores_gemma":[0.9840143,0.007685849,0.001142712,0.0004769508,0.004043789,0.002636395],"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":[0.00002350162,0.000008892724,0.0001359572,0.0000343779,0.000004237404,0.0003439988,0.0001091927,0.000008084393,0.00003126992,0.0003266322,0.9974812,0.001492845],"study_design_scores_gemma":[0.0000928013,0.00007359828,0.001298336,0.0006524057,0.00003307939,0.003241961,0.001317899,0.0002205536,0.0002777466,0.004528822,0.9881477,0.0001151075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001371297,0.0006402496,0.00003329157,0.9773207,0.02117111,0.000008172739,0.00004158614,0.00002694725,0.0006208821],"genre_scores_gemma":[0.001256944,0.0004413506,0.00006892188,0.9780028,0.01749915,0.00003042282,0.00002134113,0.00001998007,0.002659023],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04453617,"threshold_uncertainty_score":0.03318292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771907864346189,"score_gpt":0.3713191780821846,"score_spread":0.3136000994387227,"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."}}