{"id":"W4206156952","doi":"10.2196/preprints.24382","title":"Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Manitoba","funders":"","keywords":"Medicine; Family medicine; Primary care","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":[0.07185334,0.00137698,0.00145932,0.001291559,0.002340474,0.003063498,0.001354226,0.002177396,0.004028734],"category_scores_gemma":[0.105114,0.001033422,0.00257142,0.001706425,0.001787683,0.002617679,0.002633178,0.001513831,0.0004415652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009825759,"about_ca_system_score_gemma":0.02644204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290873,"about_ca_topic_score_gemma":0.02206414,"domain_scores_codex":[0.8961079,0.08936506,0.007360326,0.001075255,0.004034759,0.002056679],"domain_scores_gemma":[0.9335288,0.0379285,0.007970884,0.003833113,0.01139969,0.005338881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1003845,0.1789555,0.05745434,0.03206865,0.002747558,0.001183025,0.02600256,0.00370147,0.002425176,0.00207188,0.013306,0.5796994],"study_design_scores_gemma":[0.2339352,0.6194293,0.09466301,0.01038396,0.002688967,0.0003274351,0.01721346,0.003546824,0.00274912,0.001285123,0.01343547,0.0003420637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7608311,0.001245891,0.00317824,0.002878196,0.0003702914,0.2258138,0.001368881,0.0001443883,0.004169205],"genre_scores_gemma":[0.6632719,0.001749342,0.03858667,0.002748593,0.0002340497,0.2919128,0.0006635226,0.00002915496,0.0008039584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07185334,"threshold_uncertainty_score":0.3800013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07539578333628225,"score_gpt":0.3900972723243451,"score_spread":0.3147014889880628,"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."}}