{"id":"W4408925216","doi":"10.1177/15357597251324024","title":"Comprehensive Epilepsy Care: The Key to Cutting Costs and Seizing Better Outcomes","year":2025,"lang":"en","type":"letter","venue":"Epiliepsy currents/Epilepsy currents","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Epilepsy; Business; Medicine; Risk analysis (engineering); Computer science; Psychiatry; Computer security","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":[0.001979819,0.0002775495,0.0006488418,0.001022187,0.0007981976,0.00312882,0.0007914968,0.001124766,0.005539058],"category_scores_gemma":[0.01021545,0.0001526922,0.0006082458,0.001456811,0.0008953242,0.001834387,0.002936631,0.002614331,0.0005282153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005558379,"about_ca_system_score_gemma":0.02142376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1600718,"about_ca_topic_score_gemma":0.2845422,"domain_scores_codex":[0.9984824,0.0004674972,0.00009375669,0.0001087018,0.0003495271,0.0004980883],"domain_scores_gemma":[0.9938568,0.0006868899,0.001171344,0.0001851492,0.001023715,0.003075996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002273305,0.0007403269,0.3886209,0.001149988,0.0007980904,0.0004395815,0.001226737,0.002881025,0.001038996,0.02138744,0.1628022,0.4186873],"study_design_scores_gemma":[0.0001572364,0.0004974171,0.8584697,0.005872872,0.0004233239,0.0005888244,0.004800546,0.00327069,0.0005429302,0.04003967,0.08519151,0.0001453151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2460077,0.0403653,0.006924597,0.6807503,0.001313797,0.0002052594,0.003298439,0.0003114819,0.02082316],"genre_scores_gemma":[0.9328471,0.02542105,0.01055334,0.02521389,0.001782152,0.0001151113,0.001907759,0.00008223642,0.002077457],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1600718,"threshold_uncertainty_score":0.3182801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03355770704009903,"score_gpt":0.3355273507421032,"score_spread":0.3019696437020042,"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."}}