{"id":"W4249922596","doi":"10.4000/aa.1728","title":"“Para ir longe, não precisa de velocidade”: uma homenagem a Raul Aragão Rocha","year":2017,"lang":"pt","type":"article","venue":"Anuário Antropológico","topic":"Science and Education Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.003208905,0.0004869227,0.0006257843,0.000343322,0.007416627,0.003208807,0.003737009,0.0004294402,0.003531913],"category_scores_gemma":[0.001657241,0.0004593202,0.0003572768,0.0007780376,0.002787621,0.001552315,0.0005813707,0.0008200904,0.004249474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440004,"about_ca_system_score_gemma":0.002209513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187954,"about_ca_topic_score_gemma":0.004201715,"domain_scores_codex":[0.9933707,0.0005294053,0.000607813,0.001169569,0.001847629,0.002474897],"domain_scores_gemma":[0.9957039,0.0003393281,0.0005883972,0.001820035,0.0004204228,0.00112792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003951421,0.001838161,0.08757708,0.0002118683,0.0003718822,0.0004230336,0.2205588,0.00003864893,0.002561915,0.01240703,0.4638935,0.209723],"study_design_scores_gemma":[0.002235553,0.000682882,0.5355867,0.0003092228,0.0001681283,0.00004788446,0.1396147,0.002745016,0.002815092,0.00555316,0.3083268,0.001914821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941524,0.001181468,0.0003655624,0.0406119,0.002429978,0.0009304524,0.00004257969,0.0001350382,0.06015061],"genre_scores_gemma":[0.8755349,0.002238149,0.000216486,0.0009345555,0.002280882,0.00006035212,0.00001324448,0.00004184139,0.1186796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4480096,"threshold_uncertainty_score":0.9999262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136449085285653,"score_gpt":0.4358397538685112,"score_spread":0.3221948453399459,"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."}}