{"id":"W3042622923","doi":"10.1136/bmj.m2752","title":"Covid-19: an opportunity to reduce unnecessary healthcare","year":2020,"lang":"en","type":"article","venue":"BMJ","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Internet privacy; Visitor pattern; World Wide Web; CAPTCHA; Computer science; Health care; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Virology; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006006741,0.0002803499,0.0005284318,0.0001205304,0.001447496,0.00002659015,0.0006480438,0.0004178446,0.005744135],"category_scores_gemma":[0.04958544,0.0002820147,0.00007147228,0.00070384,0.00007066448,0.0005683044,0.0004058507,0.00172757,0.00202595],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006447292,"about_ca_system_score_gemma":0.01915221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106414,"about_ca_topic_score_gemma":0.003044004,"domain_scores_codex":[0.9879069,0.008251047,0.001330675,0.0008160275,0.0006728115,0.001022584],"domain_scores_gemma":[0.9802493,0.001586788,0.0006323265,0.001067513,0.0004610481,0.01600297],"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":[0.0008385351,0.0001851502,0.02997839,0.003567976,0.00003534902,0.0002402635,0.04147697,0.00001931018,0.0002755197,0.01187203,0.8863607,0.02514977],"study_design_scores_gemma":[0.0006864262,0.0005256333,0.01088569,0.0001506861,0.00001797619,0.000008589746,0.02117923,0.0000914393,0.00002592285,0.0006726751,0.9653436,0.000412142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1013285,0.0001689404,0.0005076056,0.8848408,0.001068344,0.002998793,0.0002171934,0.0006267836,0.008243004],"genre_scores_gemma":[0.395141,0.00005532694,0.001746963,0.6000413,0.001917105,0.0003463178,0.0001051608,0.00005436304,0.000592448],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2938125,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8418524665928564,"score_gpt":0.6435686510093076,"score_spread":0.1982838155835488,"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."}}