{"id":"W6986269572","doi":"","title":"Para além dos saberes epistêmicos: a dramática do uso do corpo-si nos processos de certificação/formação dos trabalhadores de uma indústria multinacional de extração e processamento de minério de ferro.","year":2018,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Field (mathematics); Work (physics); Context (archaeology); Order (exchange)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0007318564,0.001432818,0.001233357,0.0006814033,0.0006964593,0.0009000499,0.002074778,0.0006179184,0.001982323],"category_scores_gemma":[0.000486169,0.00145868,0.0004841098,0.001506102,0.001097988,0.002089877,0.0004747526,0.001232997,0.0002718306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008966589,"about_ca_system_score_gemma":0.001695396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005889413,"about_ca_topic_score_gemma":0.0002278192,"domain_scores_codex":[0.9924666,0.0004217855,0.001474761,0.001370549,0.0008453312,0.003420993],"domain_scores_gemma":[0.996367,0.0004215169,0.0007397461,0.001026481,0.0001377746,0.001307509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003370638,0.001682909,0.7202988,0.003723625,0.002241139,0.0006554823,0.05458112,0.004182978,0.02018364,0.001658379,0.05054013,0.1368812],"study_design_scores_gemma":[0.009950864,0.004303857,0.3824425,0.004404187,0.002254418,0.0005061061,0.02517478,0.3563098,0.1320151,0.004001825,0.06956805,0.009068479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749649,0.003722717,0.01256911,0.002574483,0.0003289673,0.001694477,0.0001592301,0.001133766,0.002852321],"genre_scores_gemma":[0.9744071,0.001064994,0.01727208,0.001744195,0.0009124923,0.0006921809,0.0001108291,0.0004366846,0.003359419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3521268,"threshold_uncertainty_score":0.9998422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408173690296232,"score_gpt":0.249791609208075,"score_spread":0.2257098723051127,"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."}}