{"id":"W1496249891","doi":"10.1159/000081649","title":"Patient Recruitment and Selection","year":2004,"lang":"en","type":"review","venue":"Contributions to nephrology","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Selection (genetic algorithm); Psychology; 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":[],"consensus_categories":[],"category_scores_codex":[0.02398228,0.0018183,0.00411196,0.004510872,0.00151211,0.001635424,0.001898598,0.002064436,0.09704931],"category_scores_gemma":[0.03636391,0.0008278966,0.001884553,0.002512989,0.0009736926,0.001613286,0.003971179,0.001613098,0.02871118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039832,"about_ca_system_score_gemma":0.01514094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209338,"about_ca_topic_score_gemma":0.002198315,"domain_scores_codex":[0.9863578,0.00747489,0.002838782,0.0009988449,0.001631587,0.0006980919],"domain_scores_gemma":[0.9873201,0.005497459,0.001874003,0.001289512,0.002700243,0.001318754],"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":[0.001746447,0.0006323614,0.01040092,0.02505383,0.0002447785,0.001105316,0.0007789016,0.0003146105,0.001535879,0.003757479,0.1720426,0.782387],"study_design_scores_gemma":[0.005127011,0.002037875,0.03536965,0.05091394,0.001244419,0.003240974,0.001411731,0.0006144937,0.001588586,0.01182432,0.8864738,0.0001531803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"review","genre_scores_codex":[0.02416227,0.2796219,0.08093192,0.02984248,0.01824975,0.4570963,0.02533752,0.0008001967,0.08395763],"genre_scores_gemma":[0.05672761,0.1903242,0.09163441,0.04686791,0.01182414,0.5164397,0.02185799,0.0002591521,0.06406492],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.09704931,"threshold_uncertainty_score":0.3246623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410246122990894,"score_gpt":0.3725758574674807,"score_spread":0.3315512451683914,"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."}}