{"id":"W2305830630","doi":"","title":"Growing up in North America: Child well-being in Canada, the United States, and México","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Indigenous and Place-Based Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Census; Population; Geography; Economic growth; State (computer science); Investment (military); Political science; Sociology; Demography; Politics; Economics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002255182,0.0001711094,0.0002758781,0.00050461,0.0005840408,0.0001666159,0.0004817972,0.0001638565,0.00003639646],"category_scores_gemma":[0.0001958843,0.0001705451,0.00003353916,0.0005203019,0.0002797311,0.0000965242,0.0002022297,0.001607343,0.000001655188],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006899825,"about_ca_system_score_gemma":0.008623132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947746,"about_ca_topic_score_gemma":0.9993633,"domain_scores_codex":[0.997218,0.0007339409,0.0004358532,0.0004745374,0.0002729775,0.0008646548],"domain_scores_gemma":[0.9985974,0.0007675056,0.0001284703,0.0003326945,0.00005819869,0.0001157725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003537173,0.00005695756,0.7725147,0.00006262851,0.00001860403,0.00003048958,0.05367749,0.1047869,3.905164e-7,0.0004256379,0.0001360861,0.06825477],"study_design_scores_gemma":[0.0006952453,0.00004149488,0.6292887,0.0003984599,0.00000832202,0.000002417555,0.120389,0.01396461,0.00001034154,0.002171405,0.232192,0.0008380748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456269,0.0001005012,3.47739e-7,0.001786222,0.000326373,0.0006029141,0.00002688423,0.000007642041,0.05152224],"genre_scores_gemma":[0.9868751,0.01166868,0.00002952477,0.0003200122,0.0001787476,0.00007814066,0.0002792468,0.00002238873,0.0005481971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2320559,"threshold_uncertainty_score":0.9969971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420321549009487,"score_gpt":0.276645122461165,"score_spread":0.2624419069710701,"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."}}