{"id":"W2763746106","doi":"10.1007/s00198-017-4243-5","title":"Administrative health data: guilty until proven innocent","year":2017,"lang":"en","type":"letter","venue":"Osteoporosis International","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"","keywords":"Medicine; Medical emergency; Family 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":[0.02726994,0.0009442834,0.002279067,0.002172535,0.01051612,0.01151947,0.005770735,0.1215147,0.009672024],"category_scores_gemma":[0.1497084,0.002114055,0.002795433,0.003126188,0.009157054,0.00756119,0.007269839,0.07207104,0.009435674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008335124,"about_ca_system_score_gemma":0.02976691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03584072,"about_ca_topic_score_gemma":0.04839899,"domain_scores_codex":[0.9710152,0.008126392,0.0053982,0.002505528,0.008162556,0.004792226],"domain_scores_gemma":[0.8828888,0.07806143,0.008193502,0.004723587,0.01454562,0.01158709],"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":[0.00004356907,0.000023341,0.002704683,0.00003603075,0.00002850318,0.001039281,0.0003609782,0.00005001782,0.00006957684,0.004275738,0.9860801,0.005288104],"study_design_scores_gemma":[0.0001889335,0.0000638268,0.006170341,0.001528628,0.0001282199,0.001179317,0.002523588,0.0007711772,0.0003798041,0.02189433,0.9650041,0.0001675826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004581098,0.0003634416,0.00009645976,0.9906664,0.005143672,0.00001610136,0.0001949135,0.00002290067,0.003037888],"genre_scores_gemma":[0.003025547,0.0004468346,0.0002470264,0.9791029,0.01182281,0.00004428128,0.0001228459,0.00003661488,0.005151097],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1215147,"threshold_uncertainty_score":0.144219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2142138490292224,"score_gpt":0.490000508257231,"score_spread":0.2757866592280087,"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."}}