{"id":"W2096306168","doi":"10.1503/cmaj.111311","title":"Patients and families as safety experts","year":2011,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Medicine; Computer science; Data science; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.006737605,0.0008990638,0.0008945104,0.0008491271,0.01500687,0.005270335,0.001745357,0.03212571,0.02199143],"category_scores_gemma":[0.04162379,0.0007794537,0.0007075432,0.0007245174,0.00699044,0.009163192,0.006098695,0.03306958,0.006632782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007598667,"about_ca_system_score_gemma":0.01308476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006694506,"about_ca_topic_score_gemma":0.0159004,"domain_scores_codex":[0.9889562,0.005323105,0.0005223187,0.0007001898,0.002619727,0.001878549],"domain_scores_gemma":[0.9649426,0.009247868,0.002225635,0.0009742359,0.006206878,0.01640279],"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":[0.00003262468,0.0001072853,0.002218157,0.00009679825,0.0000139263,0.01252787,0.006162205,0.0001038491,0.0002544177,0.007077999,0.9468344,0.02457057],"study_design_scores_gemma":[0.00006548469,0.000116708,0.001695976,0.0008143742,0.00001636359,0.02423933,0.01911006,0.0002082191,0.0001145379,0.01497956,0.9385646,0.00007480248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002591383,0.002090672,0.0002596627,0.9698039,0.007773097,0.00002754835,0.0000122937,0.00003244535,0.01740897],"genre_scores_gemma":[0.0627825,0.004061623,0.0005425363,0.8998344,0.01282192,0.00009823452,0.00002549542,0.0000280914,0.01980517],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03212571,"threshold_uncertainty_score":0.07356864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591429142880662,"score_gpt":0.3167060022990542,"score_spread":0.2907917108702476,"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."}}