{"id":"W4413965048","doi":"10.1162/imag.a.156","title":"Mapping individual differences in intermodal coupling in neurodevelopment","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Connaught Fund; University of Toronto; McLaughlin Centre, University of Toronto; National Alliance for Research on Schizophrenia and Depression; Regeneron Pharmaceuticals; National Institute of Biomedical Imaging and Bioengineering; University of Pennsylvania; Brain and Behavior Research Foundation","keywords":"Coupling (piping); Psychology; Computer science; 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":[0.002380896,0.000307536,0.0002097467,0.001098673,0.0003274841,0.0007196619,0.0003591265,0.0003852988,0.001621165],"category_scores_gemma":[0.006853226,0.0001411814,0.0002821524,0.0007251971,0.0005778482,0.0005044109,0.001073772,0.0005475032,0.0001487917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004263414,"about_ca_system_score_gemma":0.0003237404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004612923,"about_ca_topic_score_gemma":0.006818253,"domain_scores_codex":[0.9991493,0.000292975,0.0000478625,0.0002873796,0.0001497376,0.00007266573],"domain_scores_gemma":[0.9970162,0.001347152,0.0007630894,0.0004618957,0.0002640232,0.0001477183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003323451,0.00007105066,0.8945026,0.0001232602,0.0005570619,0.000236932,0.001177076,0.004694409,0.03330294,0.004121581,0.001056496,0.05982424],"study_design_scores_gemma":[0.00000403453,0.00005684146,0.9879098,0.00001779081,0.0000529082,0.0002630765,0.0002724589,0.003412054,0.00373915,0.003455623,0.0007997486,0.00001643519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728103,0.0003782891,0.02321981,0.0001466651,0.000014697,0.00002136882,0.0006952808,0.00007375004,0.002639921],"genre_scores_gemma":[0.9935088,0.00007761131,0.005853819,0.00003296062,0.000005299255,0.00002422058,0.0001645515,0.00002564524,0.0003069367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004612923,"threshold_uncertainty_score":0.01259154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527462173988821,"score_gpt":0.2672933457847896,"score_spread":0.2420187240449014,"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."}}