{"id":"W2612005260","doi":"10.1093/ije/dyx051","title":"Data Resource Profile: Seeding Success: a cross-sectoral data resource for early childhood health and development research in Australian Aboriginal and non-Aboriginal children","year":2017,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"National Health and Medical Research Council; Australian Government; U.S. Department of Health and Human Services","keywords":"Medicine; Resource (disambiguation); Career development; Population health; Early childhood; Population; Medical education; Library science; Nursing; Environmental health; Psychology","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":[0.03401001,0.001007264,0.002144693,0.01272199,0.001594514,0.00332189,0.002985719,0.001129073,0.04148973],"category_scores_gemma":[0.1129651,0.001550721,0.001060385,0.0233092,0.0006392861,0.005584857,0.007909985,0.002480766,0.02135535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003386657,"about_ca_system_score_gemma":0.02377484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04742875,"about_ca_topic_score_gemma":0.04651164,"domain_scores_codex":[0.9865059,0.00485336,0.003710198,0.001064698,0.002832586,0.001033296],"domain_scores_gemma":[0.878508,0.04302672,0.01193063,0.02570175,0.02291999,0.01791296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007570026,0.0002708146,0.02995631,0.003130131,0.0002599188,0.0001974759,0.00254461,0.0006131394,0.001645517,0.004800967,0.8601799,0.09564417],"study_design_scores_gemma":[0.0003161932,0.0001295965,0.1197531,0.002435259,0.0002058044,0.000245964,0.001878771,0.002416821,0.001912776,0.003474716,0.8670251,0.0002060407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008022339,0.0006167226,0.01163088,0.002478173,0.000237905,0.002390968,0.9476104,0.005953165,0.02105948],"genre_scores_gemma":[0.03581841,0.001252551,0.08060797,0.0009318629,0.0001460569,0.009779298,0.8588775,0.005397498,0.007188929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04742875,"threshold_uncertainty_score":0.1798643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2181252865486182,"score_gpt":0.5231227817364551,"score_spread":0.3049974951878369,"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."}}