{"id":"W2041893976","doi":"10.1542/peds.2007-0364","title":"Neonatal Brain Volumetric Studies: Regression Analysis and Interpretation","year":2007,"lang":"en","type":"letter","venue":"PEDIATRICS","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"","keywords":"Covariate; Medicine; Confounding; Regression; Regression analysis; Multiple comparisons problem; Contrast (vision); Statistics; Artificial intelligence; Internal medicine","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":[0.02416108,0.002245592,0.002305017,0.003236489,0.000618795,0.003954891,0.005262462,0.005460714,0.00740844],"category_scores_gemma":[0.2087834,0.001003924,0.0014356,0.002331799,0.002588271,0.00297817,0.001498888,0.008961132,0.00383955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723477,"about_ca_system_score_gemma":0.002123535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002033973,"about_ca_topic_score_gemma":0.002056624,"domain_scores_codex":[0.9865943,0.005511378,0.002558075,0.001501556,0.00349915,0.0003354949],"domain_scores_gemma":[0.8567852,0.09093431,0.009738112,0.003827186,0.0359613,0.002753736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001880793,0.00003480021,0.001503547,0.001717614,0.0002406418,0.0006630597,0.00007451978,0.0003555255,0.0001644741,0.001556478,0.9385678,0.05493349],"study_design_scores_gemma":[0.0001918734,0.0002675741,0.006785306,0.004421831,0.0005143333,0.005473665,0.0002363857,0.0064389,0.001370731,0.01138802,0.9627224,0.0001890586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.001051696,0.03006013,0.009384372,0.2898957,0.6671639,0.00007977613,0.000802254,0.0003344126,0.001227813],"genre_scores_gemma":[0.007981457,0.01451318,0.003993636,0.07083932,0.8994168,0.000112922,0.0001817624,0.0002654988,0.002695429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02416108,"threshold_uncertainty_score":0.1277776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992376530825773,"score_gpt":0.3156691945905724,"score_spread":0.2957454292823147,"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."}}