{"id":"W7015106407","doi":"","title":"SAILLANT, Francine; GENEST, Serge (Org.). Antropologia médica: ancoragens locais, desafios globais","year":2014,"lang":"pt","type":"review","venue":"OpenEdition (OpenEdition)","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Field (mathematics); Order (exchange)","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":[0.0003733803,0.001428197,0.0008384603,0.001344357,0.0005738446,0.001928808,0.0007993456,0.001811014,0.08986896],"category_scores_gemma":[0.00089811,0.000323373,0.0003591038,0.002806408,0.0007753212,0.00188641,0.0009844515,0.002345436,0.05798915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015584,"about_ca_system_score_gemma":0.00170053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936405,"about_ca_topic_score_gemma":0.03321523,"domain_scores_codex":[0.9997683,0.00002565135,0.00001341931,0.00006318629,0.00009217835,0.00003728336],"domain_scores_gemma":[0.9995453,0.000114676,0.00006351557,0.00001673922,0.0001184875,0.00014135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000468626,0.00001929386,0.0001503333,0.001387351,0.00001498907,0.0002117506,0.0001318154,0.0001323434,0.0004103607,0.00208006,0.4871741,0.5082408],"study_design_scores_gemma":[0.000006860075,0.000009388762,0.0003083462,0.0002980871,0.000004340548,0.0003000451,0.0000379352,0.00001653594,0.00005396685,0.0002980397,0.9986613,0.000005153623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002179868,0.947735,0.0004320838,0.007875982,0.005671056,0.00001648903,0.000282725,0.0001443491,0.03762428],"genre_scores_gemma":[0.004724707,0.7074171,0.0006591377,0.004418823,0.002262276,0.00004252328,0.0005291252,0.000103032,0.2798433],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.08986896,"threshold_uncertainty_score":0.3006417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793759043661198,"score_gpt":0.2798814421153976,"score_spread":0.2619438516787856,"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."}}