{"id":"W4365799806","doi":"10.13102/sitientibus.vi22.8791","title":"ESTIMANDO A FAVORABILIDADE PARA RECURSOS MINERAIS NA BACIA DE IRECÊ PELOS MÉTODOS LÓGICA NEBULOSA E PESOS DAS EVIDÊNCIAS","year":2022,"lang":"pt","type":"article","venue":"Sitientibus","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Humanities; Geography; Biology; Art","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001640628,0.0007726353,0.0008069991,0.0002508606,0.001766429,0.0005081634,0.002514968,0.0002898398,0.003678088],"category_scores_gemma":[0.0007669437,0.0008804553,0.000504967,0.001546367,0.0002915065,0.0003376479,0.002398536,0.001346137,0.0003920286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005198292,"about_ca_system_score_gemma":0.000794386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002863284,"about_ca_topic_score_gemma":0.00002912785,"domain_scores_codex":[0.9931706,0.0009354035,0.0009431613,0.001872138,0.001239013,0.001839698],"domain_scores_gemma":[0.9962066,0.0004943571,0.0005815647,0.001787132,0.000342243,0.0005880573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001808101,0.007970703,0.06614251,0.00387375,0.001676671,0.01161036,0.1176206,0.06574389,0.04603617,0.02103591,0.5189154,0.137566],"study_design_scores_gemma":[0.005758182,0.002712921,0.01620234,0.0007298579,0.0005464281,0.002821987,0.00548702,0.3904232,0.01067811,0.008523384,0.5514365,0.004680034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674669,0.005009821,0.03377683,0.03264664,0.005579976,0.002888146,0.0006049324,0.001129252,0.05089745],"genre_scores_gemma":[0.962605,0.00002464241,0.00279394,0.00159981,0.0003505305,0.0002383515,0.0001508341,0.00002999658,0.03220688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3246793,"threshold_uncertainty_score":0.9995331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031176999036444,"score_gpt":0.2787135089878639,"score_spread":0.2484017389974995,"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."}}