{"id":"W4307133779","doi":"10.2196/42379","title":"Construction of Cohorts of Similar Patients From Automatic Extraction of Medical Concepts: Phenotype Extraction Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Assistance publique-Hôpitaux de Paris","keywords":"Medicine; Medical record; Electronic health record; Internal medicine; Artificial intelligence; Computer science; Health care","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":[0.006921672,0.0007738762,0.000834256,0.00477457,0.0007095003,0.001621663,0.001079203,0.0008576497,0.001089266],"category_scores_gemma":[0.022338,0.0003507462,0.001845087,0.002613494,0.000374499,0.001196882,0.001961496,0.0006751016,0.0006709207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006311562,"about_ca_system_score_gemma":0.001754136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714931,"about_ca_topic_score_gemma":0.002932746,"domain_scores_codex":[0.9953068,0.001520741,0.0007600445,0.001600763,0.0006377837,0.0001738579],"domain_scores_gemma":[0.9822125,0.009630521,0.002004688,0.003262938,0.00243958,0.0004497353],"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":[0.002119903,0.0009587104,0.6914322,0.00104878,0.001237737,0.002077084,0.00215611,0.01219958,0.02055491,0.002216256,0.008462463,0.2555364],"study_design_scores_gemma":[0.0008331734,0.001585662,0.6091841,0.0006427976,0.001547708,0.008193919,0.003263779,0.2830858,0.04829988,0.006934135,0.03620269,0.000226275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8090608,0.001070759,0.1668388,0.0003855616,0.0001019664,0.001554953,0.0184197,0.001369367,0.00119806],"genre_scores_gemma":[0.6921014,0.0004112813,0.2540793,0.0001930685,0.00006968333,0.0009103752,0.05154985,0.0001389874,0.0005461238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006921672,"threshold_uncertainty_score":0.03660578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148149950989033,"score_gpt":0.3487903500821075,"score_spread":0.3339753549832041,"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."}}