{"id":"W3124827255","doi":"10.1002/hec.1732","title":"Parental income and child health in Germany","year":2011,"lang":"en","type":"article","venue":"Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science Foundation Ireland","keywords":"Demographic economics; Child health; Psychology; Economics; Medicine; Pediatrics","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":[0.001034656,0.0002308795,0.0002532235,0.001837767,0.0002961058,0.0009375456,0.00024154,0.0002389323,0.002069442],"category_scores_gemma":[0.003054029,0.0001629654,0.0003528652,0.003199805,0.0002477905,0.0005188512,0.0007779588,0.0003512042,0.0003005398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009280081,"about_ca_system_score_gemma":0.0004929535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04335406,"about_ca_topic_score_gemma":0.0416777,"domain_scores_codex":[0.9994143,0.000175568,0.00007390289,0.0000850025,0.00009473604,0.0001564933],"domain_scores_gemma":[0.9984111,0.0004351613,0.0007856062,0.0001064739,0.0001091833,0.0001524568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006560222,0.00003587168,0.9898446,0.00004043683,0.0001103711,0.0002148328,0.000627959,0.0004533908,0.00006275617,0.0006137453,0.001142373,0.00678813],"study_design_scores_gemma":[0.000004158249,0.00002213647,0.9980265,0.00002423433,0.00002696516,0.00006987416,0.0004328658,0.0002210047,0.00006323365,0.00006552324,0.001037448,0.000005969245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942448,0.000499745,0.0001091164,0.0001540396,0.000009212142,0.000007449278,0.003772802,0.000005345702,0.001197611],"genre_scores_gemma":[0.9956964,0.0004949027,0.0001514204,0.00003124557,0.000007893484,0.0000138194,0.003207536,0.000002200346,0.0003944115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04335406,"threshold_uncertainty_score":0.08620346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909515021945146,"score_gpt":0.3333927291284811,"score_spread":0.2842975789090296,"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."}}