{"id":"W3131055018","doi":"10.1002/cjs.11606","title":"Connectivity‐informed adaptive regularization for generalized outcomes","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Politechnika Wrocławska","keywords":"Regularization (linguistics); Computer science; Psychology; Mathematics; Medical physics; Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006006789,0.001210992,0.001028359,0.0008498001,0.0003867054,0.000858699,0.001983422,0.001315717,0.001660134],"category_scores_gemma":[0.01673386,0.0005471157,0.0008827569,0.0008010254,0.001503294,0.001176087,0.00168957,0.002343751,0.0003680114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063549,"about_ca_system_score_gemma":0.001976642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00507171,"about_ca_topic_score_gemma":0.006861051,"domain_scores_codex":[0.9973856,0.001760971,0.00006670531,0.0003538909,0.0002924916,0.0001403479],"domain_scores_gemma":[0.9949576,0.003485311,0.0004682562,0.0005110141,0.0004609332,0.0001169048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001618116,0.00009190111,0.002229803,0.0002108514,0.0002194229,0.0002288731,0.000164257,0.764207,0.00365685,0.1459765,0.005268333,0.07758429],"study_design_scores_gemma":[0.0000173188,0.00001563126,0.000280101,0.00001008094,0.000008053692,0.00002483692,0.000006270044,0.9614381,0.0003044254,0.03732381,0.0005611145,0.00001018477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007570209,0.0001463374,0.9911411,0.0003385482,0.00001848606,0.00004101414,0.00007610103,0.0002006392,0.0004675852],"genre_scores_gemma":[0.4960096,0.0005199585,0.4945986,0.0005274152,0.0001607925,0.0007857307,0.0009717815,0.0004546383,0.00597163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006006789,"threshold_uncertainty_score":0.03176731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06432195564636864,"score_gpt":0.2745665324794173,"score_spread":0.2102445768330486,"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."}}