{"id":"W3122282777","doi":"","title":"Data Resource Profile: Pathways to Health and Social Equity for Children (PATHS Equity for Children)","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Equity (law); Health equity; Socioeconomic status; Epidemiology; Resource (disambiguation); Data collection; Social determinants of health; Business; Actuarial science; Medicine; Economic growth; Computer science; Health care; Sociology; Political science; Economics; Environmental health; Social science; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003625968,0.0006704744,0.001052362,0.005123058,0.0007880334,0.003415076,0.002168288,0.001269352,0.2240694],"category_scores_gemma":[0.03568577,0.0008594627,0.0008640704,0.0134138,0.0003578692,0.003435866,0.004035074,0.001498947,0.06864257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633873,"about_ca_system_score_gemma":0.006068429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695135,"about_ca_topic_score_gemma":0.02771333,"domain_scores_codex":[0.9977919,0.0006684113,0.0005871006,0.0002980441,0.0004431799,0.0002113304],"domain_scores_gemma":[0.9846461,0.007517536,0.001532952,0.001939092,0.002994958,0.001369384],"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":[0.0001789553,0.00002635161,0.004608856,0.001573965,0.00004914535,0.00004620315,0.0002211656,0.0003094937,0.00005524854,0.004819978,0.9643489,0.02376174],"study_design_scores_gemma":[0.0001791398,0.00001725115,0.008083874,0.001069762,0.00003968787,0.0000964036,0.0003298153,0.0002911767,0.0002132101,0.005448298,0.9841871,0.00004443742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002837494,0.00009162955,0.0007619216,0.0002259807,0.0000234337,0.0001239406,0.9930174,0.0005889144,0.004883008],"genre_scores_gemma":[0.004028034,0.0004711749,0.007451505,0.0003095816,0.00003809929,0.001640262,0.9814077,0.0009853614,0.00366823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2240694,"threshold_uncertainty_score":0.7495869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06141156720069134,"score_gpt":0.3885033295706156,"score_spread":0.3270917623699242,"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."}}