{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00143168,0.0001433407,0.0004729534,0.0001942677,0.0001116395,0.00001271223,0.0008765324,0.0001687542,0.001387694],"category_scores_gemma":[0.0008674234,0.0001351635,0.00007503357,0.0005169102,0.0001915677,0.0004579404,0.0004588493,0.0007914162,0.000004320842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041615,"about_ca_system_score_gemma":0.0004737187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003729443,"about_ca_topic_score_gemma":0.00001472182,"domain_scores_codex":[0.9933286,0.0004186157,0.001760789,0.0001521567,0.004148336,0.0001915099],"domain_scores_gemma":[0.9969206,0.0006164531,0.00148168,0.0005076816,0.0002651493,0.0002084773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000103778,0.003780418,0.3956923,0.001584754,0.0002319188,0.00002108295,0.06593251,0.0009148452,0.0000328262,0.004322311,0.001471719,0.5259115],"study_design_scores_gemma":[0.00260577,0.001785554,0.1566234,0.0002965885,0.00004694226,0.00003467188,0.01283498,0.8237383,0.0001483216,0.0006733646,0.0009590852,0.0002530292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693538,0.00002551338,0.02829418,0.0002815852,0.001048163,0.0006492476,0.0000230322,0.0000860076,0.0002384972],"genre_scores_gemma":[0.9890135,0.00001105184,0.01068457,0.0001407538,0.000040053,0.00005399078,0.00004492612,0.00000813994,0.000003016889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8228235,"threshold_uncertainty_score":0.9995252,"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."}}