{"id":"W820769276","doi":"","title":"Growing up in North America: The economic well-being of children in Canada, the United States, and Mexico","year":2008,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Economic growth; Development economics; Economic inequality; Geography; Political science; Inequality; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006134777,0.000317546,0.0005314433,0.0002633312,0.0006219827,0.00006853609,0.0008717726,0.0001591681,0.0002381623],"category_scores_gemma":[0.00008705313,0.0002607765,0.0001040241,0.0003141152,0.0009455297,0.0001949319,0.000189412,0.0007894869,0.00001080638],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171482,"about_ca_system_score_gemma":0.008924092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9826379,"about_ca_topic_score_gemma":0.9942342,"domain_scores_codex":[0.9974722,0.0005311382,0.0007116844,0.0005183745,0.0002401272,0.0005264466],"domain_scores_gemma":[0.9982079,0.0005543341,0.0005154822,0.0005276135,0.00005056313,0.0001441347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006569834,0.00001767509,0.9657151,0.00001187609,0.00005929292,0.000002571665,0.02684329,0.002520706,7.468193e-8,0.0006348933,0.00369827,0.0004896784],"study_design_scores_gemma":[0.0003018509,0.00000750665,0.9508336,0.00008215336,0.00002700556,0.00000813163,0.01708879,0.0003196175,0.000005719795,0.0003527429,0.03061366,0.0003592318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821972,0.001826213,0.000001732672,0.003778595,0.001686177,0.0005941999,0.0001457665,0.00002013565,0.009749957],"genre_scores_gemma":[0.9861578,0.01209282,0.00001625705,0.001054471,0.0002496432,0.00004039646,0.0001610002,0.0000249326,0.0002027267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691539,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007654994750074985,"score_gpt":0.2196865267331687,"score_spread":0.2120315319830938,"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."}}