{"id":"W2766560801","doi":"","title":"The Effect of Indian Residential Schools on Height and Body Mass Post-1930","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anthropometry; Context (archaeology); Demography; Geography; Body weight; Socioeconomics; Residential school; Gerontology; Demographic economics; Environmental health; Psychology; Medicine; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007291026,0.0002627393,0.0003108552,0.001779192,0.002186701,0.001418104,0.001085547,0.0003933207,0.00374518],"category_scores_gemma":[0.003715803,0.0002019226,0.0006668961,0.003359548,0.001425,0.0003406313,0.001443629,0.001177698,0.0004415433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01493277,"about_ca_system_score_gemma":0.009537208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9706666,"about_ca_topic_score_gemma":0.9754267,"domain_scores_codex":[0.9989147,0.00009236379,0.00002702725,0.0001486636,0.0002340217,0.0005832407],"domain_scores_gemma":[0.9974326,0.0001937581,0.000655672,0.0001835798,0.0007178179,0.0008165446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001579631,0.00009699962,0.9824736,0.00002418671,0.0001053157,0.0001001112,0.001902871,0.000344741,0.000213324,0.0011076,0.001301156,0.01217216],"study_design_scores_gemma":[0.000001678588,0.00001546704,0.9984946,0.000007411089,0.00001823899,0.00001178007,0.0005427866,0.00007308604,0.00004643749,0.00002858934,0.0007551169,0.000004781816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893305,0.0005064678,0.00008980455,0.0005533534,0.00001599535,0.000009640132,0.002569756,0.00002499199,0.006899315],"genre_scores_gemma":[0.9973694,0.0001893915,0.00007863383,0.00004876013,0.000009485046,0.000004595171,0.0008567212,0.000004793339,0.00143816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02933335,"threshold_uncertainty_score":0.1083453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396527060691744,"score_gpt":0.3790199394091273,"score_spread":0.3550546688022098,"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."}}