{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1471095,0.001990151,0.002569373,0.007651328,0.001697415,0.01397457,0.005411225,0.002500899,0.003680434],"category_scores_gemma":[0.5041606,0.001941842,0.001908378,0.005634651,0.001508745,0.01231807,0.006964304,0.002728488,0.002701749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002495911,"about_ca_system_score_gemma":0.005171132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01766845,"about_ca_topic_score_gemma":0.01674833,"domain_scores_codex":[0.8121387,0.1178306,0.02051121,0.008244213,0.03858572,0.00268959],"domain_scores_gemma":[0.3856097,0.4336853,0.01312207,0.08570461,0.07880875,0.003069652],"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":[0.003790316,0.00122314,0.1290208,0.008487262,0.001669202,0.001435024,0.02693217,0.006302201,0.0153799,0.004182881,0.07833816,0.7232391],"study_design_scores_gemma":[0.001776038,0.003921765,0.2510001,0.0152775,0.004608358,0.003264694,0.0337078,0.1511797,0.09176652,0.02445587,0.4169154,0.002126192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.51651,0.01296453,0.3129552,0.02557266,0.002375817,0.0107875,0.02714272,0.06611748,0.02557409],"genre_scores_gemma":[0.6339397,0.003378362,0.3259566,0.004124073,0.0008248775,0.001647439,0.02026282,0.005925914,0.003940295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1471095,"threshold_uncertainty_score":0.7779986,"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."}}