{"id":"W1988723807","doi":"10.1136/bmj.328.7446.1020-e","title":"Christopher Richard Sheard","year":2004,"lang":"en","type":"article","venue":"BMJ","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008792246,0.0004843714,0.0003553288,0.001043011,0.002072128,0.002033332,0.0008302804,0.002470268,0.1416446],"category_scores_gemma":[0.008861993,0.0004212746,0.0002723862,0.0004927262,0.0008731102,0.001486834,0.001832095,0.004162131,0.03324018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735646,"about_ca_system_score_gemma":0.005495401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04143569,"about_ca_topic_score_gemma":0.08842628,"domain_scores_codex":[0.9988709,0.0001273521,0.00003530228,0.0002494172,0.0005094697,0.0002075201],"domain_scores_gemma":[0.9943515,0.0004014023,0.000198298,0.0001184852,0.001845256,0.003085084],"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":[0.000008266409,0.000007430497,0.0003750678,0.00002711537,0.000001565857,0.00009933452,0.00008368945,0.00001166344,0.00004569699,0.0006502742,0.9821106,0.01657926],"study_design_scores_gemma":[0.000007662002,0.00002073902,0.001646098,0.0001793279,0.000003211365,0.0009609489,0.0006153217,0.00002526269,0.00006646082,0.0003996985,0.9960621,0.00001326846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00496889,0.04383877,0.001588806,0.6043309,0.06341229,0.000123359,0.0007695421,0.0005097026,0.2804578],"genre_scores_gemma":[0.02751702,0.02625533,0.001221119,0.1219535,0.006891098,0.00007876789,0.0003706535,0.0002349338,0.8154776],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1416446,"threshold_uncertainty_score":0.4738484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07133183354059233,"score_gpt":0.4601078333398686,"score_spread":0.3887759997992762,"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."}}