{"id":"W4283776779","doi":"10.1016/j.neuchi.2022.06.005","title":"Understanding the problems with recruitment in surgical randomized trials: A lesson from landmark trials on temporal lobe epilepsy","year":2022,"lang":"en","type":"review","venue":"Neurochirurgie","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta Hospital; Centre Hospitalier de l’Université de Montréal; Health Sciences Centre","funders":"","keywords":"Landmark; Epilepsy; Temporal lobe; Randomized controlled trial; Medicine; Mesial temporal lobe epilepsy; Psychology; Neuroscience; Surgery; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5074061,0.001853725,0.01113911,0.003387007,0.002533045,0.01283439,0.00646089,0.02210088,0.004003802],"category_scores_gemma":[0.6372886,0.001804861,0.004766404,0.003951661,0.02596628,0.02575565,0.007597466,0.03568046,0.001338881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008149847,"about_ca_system_score_gemma":0.02354239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00506898,"about_ca_topic_score_gemma":0.008455728,"domain_scores_codex":[0.4614227,0.462911,0.03465813,0.009595274,0.02971616,0.001696659],"domain_scores_gemma":[0.118763,0.8378356,0.01361323,0.01217785,0.01620184,0.001408446],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001158215,0.0001678497,0.003220704,0.0505352,0.005679157,0.000520286,0.006889254,0.00227845,0.0005251988,0.2623993,0.2099381,0.4566884],"study_design_scores_gemma":[0.002372209,0.000531585,0.002700989,0.1286103,0.003125997,0.001155053,0.002237515,0.003667672,0.0006074116,0.5867717,0.2678005,0.0004191298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0008321347,0.4397753,0.03892975,0.5044605,0.01291642,0.0003288824,0.0002250331,0.0001178016,0.002414112],"genre_scores_gemma":[0.05639356,0.2578371,0.09907757,0.53967,0.04163275,0.003230014,0.0002446227,0.0004764533,0.001438023],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4925939,"threshold_uncertainty_score":0.607456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9326589006269285,"score_gpt":0.6201852394369439,"score_spread":0.3124736611899845,"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."}}