{"id":"W2883946720","doi":"10.1101/376897","title":"Genetics & the Geography of Health, Behavior, and Attainment","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Jacobs Foundation; Canadian Institute for Advanced Research; Medical Research Council; Sage Foundation","keywords":"Psychological intervention; Educational attainment; Selection (genetic algorithm); Obesity; Psychology; Gerontology; Medicine; Economic growth; Economics; Computer science; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007993761,0.0002423544,0.0002842736,0.0009748561,0.0005763354,0.001239992,0.0002724887,0.0003876337,0.01044725],"category_scores_gemma":[0.006083551,0.0001420521,0.0002928338,0.001811085,0.0007700095,0.0004766019,0.0009763677,0.0005485833,0.0007702914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005414576,"about_ca_system_score_gemma":0.0007000139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973189,"about_ca_topic_score_gemma":0.01258857,"domain_scores_codex":[0.9992265,0.0003491303,0.00004067569,0.0001996438,0.0001270781,0.00005703724],"domain_scores_gemma":[0.9983392,0.0005737154,0.0004793462,0.0002753292,0.0001362796,0.0001961281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008266588,0.00004101353,0.9456133,0.0001108845,0.0002662247,0.0002382786,0.0009367151,0.000723354,0.001192217,0.01247481,0.007857581,0.03046301],"study_design_scores_gemma":[0.00001208025,0.00003290665,0.9727308,0.00007138326,0.00006195376,0.000209683,0.0006871387,0.0008851953,0.0004819737,0.01126854,0.0135428,0.00001561762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280189,0.002687025,0.008459286,0.009826457,0.0002036021,0.00005902121,0.02522091,0.0001859624,0.02533886],"genre_scores_gemma":[0.990414,0.0007493678,0.002517019,0.0002666884,0.00006658994,0.00005765958,0.002671862,0.00004675056,0.003210159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973189,"threshold_uncertainty_score":0.03923404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266482570434492,"score_gpt":0.304566370183987,"score_spread":0.271901544479642,"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."}}