{"id":"W4406479177","doi":"10.1016/j.phr.2004.03.030","title":"10.1016/j.phr.2004.03.030","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public health; Public health policy; MEDLINE; Medicine; Health policy; Environmental health; Political science; Public administration; Data science; Computer science; Nursing; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001092102,0.001004602,0.0005081318,0.00122986,0.00122436,0.003236734,0.000944849,0.005855185,0.9278202],"category_scores_gemma":[0.002814232,0.0004657187,0.0005076663,0.0006861077,0.001256757,0.004209951,0.001182649,0.002070858,0.8488501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008362966,"about_ca_system_score_gemma":0.001379585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405133,"about_ca_topic_score_gemma":0.002346457,"domain_scores_codex":[0.9995331,0.00008491294,0.00004347779,0.00008461497,0.0001264696,0.0001274906],"domain_scores_gemma":[0.9985645,0.000517652,0.0001480191,0.0000935611,0.0002270405,0.0004492929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003108711,0.0003195464,0.00481699,0.0006050107,0.00004024581,0.0005672232,0.0002013797,0.0001983477,0.0003714212,0.01007643,0.3655597,0.6169327],"study_design_scores_gemma":[0.0001190863,0.0001743572,0.004988033,0.001400948,0.00005033743,0.005310032,0.0006647625,0.0003928549,0.0004594853,0.008589954,0.9778187,0.00003141684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002305058,0.004652968,0.001546355,0.006967963,0.0008101955,0.00008179087,0.001012251,0.0007581381,0.9818652],"genre_scores_gemma":[0.01532298,0.003564054,0.001566448,0.002784409,0.0005350118,0.00006959695,0.00083364,0.0001880484,0.9751359],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07217979,"threshold_uncertainty_score":0.1029556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789421533599788,"score_gpt":0.2189020674358307,"score_spread":0.2010078520998328,"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."}}