{"id":"W3183675039","doi":"10.1002/jdn.10144","title":"Hold‐out validation for the assessment of stability and reliability of multivariable regression demonstrated with magnetic resonance imaging of patients with schizophrenia","year":2021,"lang":"en","type":"article","venue":"International Journal of Developmental Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Canada Research Chairs; St. Francis Xavier University; Canada Foundation for Innovation; Nova Scotia Research Innovation Trust","keywords":"Reliability (semiconductor); Multivariable calculus; Schizophrenia (object-oriented programming); Stability (learning theory); Functional magnetic resonance imaging; Artificial intelligence; Regression; Magnetic resonance imaging; Regression analysis; Psychology; Machine learning; Clinical Practice; Computer science; Statistics; Cognitive psychology; Neuroscience; Medicine; Psychiatry; Mathematics; Physical therapy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05026389,0.000981826,0.0009084321,0.001142453,0.001173471,0.001479662,0.001453302,0.001190655,0.001335668],"category_scores_gemma":[0.1407992,0.0004112241,0.001840522,0.0009053292,0.001550284,0.001205437,0.001998041,0.002278958,0.0006838851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776694,"about_ca_system_score_gemma":0.001888374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005790013,"about_ca_topic_score_gemma":0.006586317,"domain_scores_codex":[0.984731,0.009828337,0.0009767703,0.002515053,0.00154511,0.0004038112],"domain_scores_gemma":[0.9154179,0.06190433,0.005543618,0.01038374,0.006047236,0.0007032201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003125014,0.0006542753,0.4690136,0.0009008528,0.004825785,0.0006907829,0.001950646,0.2542312,0.01295178,0.008980311,0.01441758,0.2282581],"study_design_scores_gemma":[0.0001310059,0.0009324339,0.154002,0.000353368,0.0005448116,0.000443028,0.0005752443,0.8150247,0.008742107,0.01263452,0.006469582,0.0001473108],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6399771,0.002911504,0.3469642,0.00113903,0.0004786139,0.00035169,0.003322193,0.002133897,0.002721666],"genre_scores_gemma":[0.9549559,0.0002312912,0.0392874,0.0002067415,0.00007938431,0.0001581813,0.004437768,0.0001951568,0.0004480864],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05026389,"threshold_uncertainty_score":0.2658241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461599166302548,"score_gpt":0.279859598956125,"score_spread":0.2552436072930995,"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."}}