{"id":"W6931667242","doi":"10.5683/sp3/luxhyy","title":"White matter microstructure in transmasculine and cisgender adolescents: A multiparametric and multivariate study","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multivariate statistics; Multivariate analysis; White (mutation); Microstructure","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":[0.0009320838,0.0008168922,0.0008434561,0.001207035,0.0006033991,0.0009906103,0.001567923,0.001272123,0.01095727],"category_scores_gemma":[0.005271764,0.000379617,0.0009342631,0.002049779,0.0003264016,0.0004328187,0.00127038,0.0009367244,0.004609983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006220538,"about_ca_system_score_gemma":0.001202132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04048651,"about_ca_topic_score_gemma":0.07323672,"domain_scores_codex":[0.9994973,0.0001061338,0.00005704083,0.0001612466,0.0000811057,0.00009713962],"domain_scores_gemma":[0.9979615,0.0004413247,0.0005317274,0.000424963,0.0004087895,0.0002316292],"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":[0.004544502,0.0006429621,0.4186177,0.001616519,0.002196036,0.0006217763,0.0005320219,0.002453789,0.001579396,0.001003431,0.5447495,0.02144231],"study_design_scores_gemma":[0.001068479,0.0002554769,0.8656064,0.0005973973,0.001109182,0.001285894,0.0008159996,0.001699161,0.0007259017,0.001071092,0.1256256,0.0001395025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07126199,0.0002300511,0.0004347555,0.0002209441,0.00002565898,0.00005821864,0.9268441,0.0001538624,0.0007704414],"genre_scores_gemma":[0.08821188,0.0001934065,0.001472461,0.0002348194,0.00002794905,0.0005774796,0.9060721,0.0001151276,0.003094719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04048651,"threshold_uncertainty_score":0.08050174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091445950727676,"score_gpt":0.3127696936657205,"score_spread":0.2918552341584437,"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."}}