{"id":"W2114037397","doi":"10.1093/ije/dyu190","title":"Data Resource Profile: Pathways to Health and Social Equity for Children (PATHS Equity for Children)","year":2014,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"Canadian Institutes of Health Research; Manitoba Centre for Health Policy, University of Manitoba; Public Health Agency; Public Health Agency of Canada","keywords":"Equity (law); Health equity; Socioeconomic status; Resource (disambiguation); Data collection; Epidemiology; Social determinants of health; Medicine; Computer science; Environmental health; Public health; Sociology; Nursing; Population; Political science; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003651682,0.0006764695,0.001031773,0.00449498,0.0007907822,0.003201989,0.002077434,0.001216174,0.2117935],"category_scores_gemma":[0.03467669,0.0008349626,0.000878024,0.01227423,0.0003352165,0.003195652,0.003916075,0.001429881,0.06096755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691702,"about_ca_system_score_gemma":0.006374986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03050763,"about_ca_topic_score_gemma":0.03124884,"domain_scores_codex":[0.9979164,0.0006416481,0.0005298006,0.0002886597,0.0004116469,0.0002118583],"domain_scores_gemma":[0.9850252,0.006997588,0.001545134,0.001902908,0.003133381,0.001395686],"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":[0.0002130026,0.00002945981,0.005577645,0.001688572,0.00005284183,0.00004515467,0.000217009,0.0003183214,0.00007021541,0.004472432,0.960961,0.02635439],"study_design_scores_gemma":[0.0002002402,0.00001911534,0.00933629,0.001081957,0.00004221317,0.00009104576,0.0003121309,0.0003113787,0.0002549169,0.004969797,0.9833371,0.00004373338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002993118,0.00008961389,0.0008039302,0.0002479825,0.00002436589,0.0001400013,0.9930249,0.0006440445,0.004725893],"genre_scores_gemma":[0.004275826,0.0004814618,0.008412099,0.0003457734,0.00003902074,0.001903499,0.979798,0.001015259,0.003729024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2117935,"threshold_uncertainty_score":0.7085197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2223691500280844,"score_gpt":0.4986950095767935,"score_spread":0.2763258595487091,"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."}}