{"id":"W2405949531","doi":"","title":"Improving usability of smoking data in EMR systems","year":2013,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Usability; Computer science; World Wide Web; Medical record; Data science; Primary care; Electronic medical record; MEDLINE; Medicine; Internet privacy; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008023968,0.0001333251,0.0002754211,0.00009321003,0.00002728313,0.00004393732,0.0002864651,0.00007152386,0.0001063644],"category_scores_gemma":[0.0006450242,0.0001156849,0.00003273635,0.0003449279,0.0000595036,0.0003114364,0.0001473306,0.0002437333,0.000006851158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495453,"about_ca_system_score_gemma":0.00008687975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927687,"about_ca_topic_score_gemma":0.00001287639,"domain_scores_codex":[0.9980977,0.0001204998,0.000476937,0.0003923365,0.0003719663,0.000540606],"domain_scores_gemma":[0.9985159,0.00005408052,0.0001580916,0.000989142,0.0001090512,0.0001737433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001774814,0.0001316803,0.9754634,0.0001802524,0.00001157502,0.00001210043,0.0006368136,0.000007403576,0.002532907,0.00002981064,0.0002011522,0.02077511],"study_design_scores_gemma":[0.0007368726,0.00002899696,0.9958487,0.0001132581,0.00006059853,0.00001445494,0.0002158916,0.0004445179,0.001589182,0.000004230289,0.0008383484,0.0001049472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969222,0.0001544602,0.0001128335,0.0001314667,0.0006813953,0.0008591611,0.00001632916,0.00005696002,0.0010652],"genre_scores_gemma":[0.9993829,0.00002639565,0.00005868851,0.00003601534,0.0001570916,0.00004726998,0.00007675233,0.00002666753,0.0001881854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02067016,"threshold_uncertainty_score":0.4717495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04404712749642159,"score_gpt":0.267476919643292,"score_spread":0.2234297921468704,"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."}}