{"id":"W3171229225","doi":"10.11575/prism/38846","title":"Creating a Frailty Case Definition for Primary Care EMR Using Machine Learning","year":2021,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary care; Computer science; Artificial intelligence; Medicine; Machine learning; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008041179,0.0005972093,0.0007973922,0.00666024,0.0009239858,0.001996748,0.00160447,0.0009791445,0.001847139],"category_scores_gemma":[0.03147371,0.0002693238,0.001387807,0.001888795,0.0007516401,0.0009523269,0.001965747,0.001125584,0.0004325455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002807917,"about_ca_system_score_gemma":0.003448389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194875,"about_ca_topic_score_gemma":0.01583756,"domain_scores_codex":[0.9946299,0.001574958,0.001247656,0.0008991632,0.001306697,0.000341545],"domain_scores_gemma":[0.9895574,0.004791824,0.001933769,0.0009007354,0.002357184,0.0004590282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005176433,0.0003857359,0.7556233,0.0004990576,0.0001737105,0.004305481,0.001247922,0.02678163,0.003748584,0.006093269,0.01699808,0.1836256],"study_design_scores_gemma":[0.0002453766,0.0007658292,0.3909111,0.001117177,0.0002569251,0.01169301,0.00231831,0.5441101,0.008102257,0.01956036,0.02074461,0.0001750525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6123506,0.0009407178,0.3634677,0.003131387,0.0002531723,0.006158844,0.005790159,0.001028802,0.006878643],"genre_scores_gemma":[0.6413454,0.0001988083,0.351553,0.0003255293,0.00009416967,0.001804148,0.004322186,0.00006381027,0.0002928131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01194875,"threshold_uncertainty_score":0.0425263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083246992543916,"score_gpt":0.345075671257108,"score_spread":0.2367509720027164,"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."}}