{"id":"W3080671127","doi":"10.1093/cercor/bhaa220","title":"Investigating Sexual Dimorphism of Human White Matter in a Harmonized, Multisite Diffusion Magnetic Resonance Imaging Study","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; National Research Foundation of Korea; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Sexual dimorphism; Fractional anisotropy; White matter; Diffusion MRI; Sex characteristics; Neuroimaging; Magnetic resonance imaging; Psychology; Neuroscience; Brain Structure and Function; Biology; Medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006550917,0.0001630708,0.0003036706,0.00007744892,0.00007110672,0.00001331268,0.0001406859,0.00002694188,0.0001307954],"category_scores_gemma":[0.00003996281,0.0001580924,0.00003741059,0.0003409379,0.0001020499,0.00008667971,0.0001773695,0.0003043766,0.00001828154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002715605,"about_ca_system_score_gemma":0.00001469486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153309,"about_ca_topic_score_gemma":0.00001398814,"domain_scores_codex":[0.9987126,0.00003972153,0.0004062644,0.0004379529,0.0001904336,0.0002130186],"domain_scores_gemma":[0.999352,0.00002173121,0.0001220022,0.0003290036,0.00004690707,0.0001283517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001711904,0.0001467061,0.8932807,0.00004022303,0.000001260775,0.00002956035,0.0009085036,8.930602e-7,0.1009629,0.00002339362,0.0004183965,0.004170334],"study_design_scores_gemma":[0.001716213,0.0003068693,0.9926549,0.00009843681,0.00002657429,0.00001420478,0.0003963909,0.003408129,0.0008413746,0.0001652073,0.0002281035,0.0001436663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952492,0.0002170502,0.0003747154,0.002865991,0.00001312633,0.0008465042,0.000009080223,0.000128925,0.0002954432],"genre_scores_gemma":[0.9918457,0.000003143421,0.005528749,0.00221712,0.0000523248,0.00006051565,0.00001517069,0.00003870276,0.0002385508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001216,"threshold_uncertainty_score":0.644682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05893061070329219,"score_gpt":0.3263750090167659,"score_spread":0.2674443983134737,"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."}}