{"id":"W2989564255","doi":"10.1016/j.yebeh.2019.106652","title":"Patient phenotypes and clinical outcomes in invasive monitoring for epilepsy: An individual patient data meta-analysis","year":2019,"lang":"en","type":"review","venue":"Epilepsy & Behavior","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Epilepsy; Meta-analysis; Medicine; Patient data; Phenotype; Intensive care medicine; Internal medicine; Psychiatry; Computer science; Biology; Genetics; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001387031,0.001134408,0.009413867,0.001103246,0.0001455552,0.00016004,0.0008103982,0.0007328183,0.0002551456],"category_scores_gemma":[0.0008882177,0.0007665944,0.003721091,0.0007783707,0.0001937229,0.0003586204,0.0009856023,0.001181359,0.00008320828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671291,"about_ca_system_score_gemma":0.0009370054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003721854,"about_ca_topic_score_gemma":0.0004463734,"domain_scores_codex":[0.9916236,0.0009235368,0.002750736,0.002362897,0.001192291,0.001146937],"domain_scores_gemma":[0.9920437,0.002289563,0.001001524,0.003449268,0.0002510177,0.0009649214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00006509356,0.002341566,0.3753347,0.001113437,0.0714272,0.0001974732,0.0001203373,3.142514e-7,7.100444e-8,0.000004950227,0.00009873178,0.5492961],"study_design_scores_gemma":[0.001764145,0.003856399,0.1261439,0.0007324626,0.7892225,0.00002575106,0.0002104399,0.000004655318,0.000002409593,0.000006140148,0.07722347,0.0008077629],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04179135,0.9416559,0.000005615952,0.00006032016,0.0005194086,0.009325916,0.006542784,0.00006747206,0.0000312172],"genre_scores_gemma":[0.006676541,0.9737333,0.004256731,0.00008159039,0.0002541268,0.003836015,0.01075456,0.0001903175,0.000216831],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7177953,"threshold_uncertainty_score":0.9994785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4264332390998387,"score_gpt":0.4970219134717325,"score_spread":0.07058867437189376,"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."}}