{"id":"W4415743414","doi":"10.1111/dmcn.70072","title":"Predicting neurodevelopmental outcomes in Australian First Nations infants: The transdiagnostic utility of early screening tools","year":2025,"lang":"en","type":"article","venue":"Developmental Medicine & Child Neurology","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Young adult; Developed country","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005691886,0.0006173898,0.0004207384,0.002239752,0.0006758628,0.001904953,0.0008509147,0.0006736895,0.001302376],"category_scores_gemma":[0.03016514,0.0002690132,0.0004153231,0.0012689,0.0005729044,0.0009564087,0.002273018,0.0012119,0.0003499148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152438,"about_ca_system_score_gemma":0.001668105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05103285,"about_ca_topic_score_gemma":0.05804884,"domain_scores_codex":[0.9976996,0.0010671,0.0002524821,0.0001950361,0.0005780591,0.0002077394],"domain_scores_gemma":[0.9930396,0.003100607,0.00114115,0.0003913931,0.001796055,0.0005310921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001052979,0.00007862746,0.9598773,0.00007656027,0.00005851673,0.0002332171,0.001335528,0.0003022339,0.0002024018,0.0002202738,0.0008135886,0.03669649],"study_design_scores_gemma":[0.000005473941,0.0001358533,0.9928713,0.0003028821,0.00006733355,0.000685365,0.001292477,0.002516916,0.0003623818,0.0005449479,0.001194137,0.00002083443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885554,0.002240909,0.001022419,0.001167398,0.0000782733,0.00004805104,0.0004363815,0.00002094204,0.006430342],"genre_scores_gemma":[0.9959509,0.001219271,0.001854919,0.0001175824,0.00001737506,0.00003339101,0.0002458658,0.000006965729,0.0005537367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05103285,"threshold_uncertainty_score":0.1014716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320626329505741,"score_gpt":0.2755357754309252,"score_spread":0.2523295121358677,"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."}}