{"id":"W4412640765","doi":"10.18071/isz.78.0271","title":"Kognitív funkciók felmérése gyógyszerrezisztens epilepsziás betegek körében","year":2025,"lang":"hu","type":"article","venue":"Ideggyógyászati Szemle","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001175347,0.001322599,0.001959088,0.001193786,0.000897492,0.000374133,0.0009703375,0.0008948981,0.005591016],"category_scores_gemma":[0.00188288,0.001214721,0.0008755704,0.002508199,0.0007260427,0.00045142,0.0007320012,0.001866603,0.007899661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035058,"about_ca_system_score_gemma":0.002173941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448774,"about_ca_topic_score_gemma":0.0005556445,"domain_scores_codex":[0.9911587,0.0005859692,0.001724209,0.001981682,0.001685143,0.0028643],"domain_scores_gemma":[0.9932984,0.001271946,0.0003856154,0.002510438,0.001013564,0.001520022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002277273,0.005751345,0.4391839,0.002869108,0.006027958,0.003648016,0.002080265,0.00007848915,0.002379309,0.02405813,0.3960189,0.1156273],"study_design_scores_gemma":[0.02885705,0.005587125,0.3366887,0.006827205,0.005062976,0.0001717779,0.004301885,0.003100144,0.01918517,0.01472011,0.5722903,0.003207535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2611968,0.06103448,0.00272757,0.03300519,0.01024294,0.007947307,0.00129784,0.001333397,0.6212144],"genre_scores_gemma":[0.844346,0.005068087,0.001344339,0.002955767,0.001746826,0.0003828208,0.000592035,0.0002056557,0.1433585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5831492,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862945448741298,"score_gpt":0.3374601589756934,"score_spread":0.3188307044882804,"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."}}