{"id":"W7026480087","doi":"","title":"Análise comparativa do código de mineração do Brasil com outros códigos de mineração internacionais","year":2018,"lang":"en","type":"other","venue":"Institutional Repository of the Federal University of Sergipe (Universidade Federal de Sergipe)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Agency (philosophy); Mining industry; Sustainable development; Environmental impact assessment; Mineral exploration; Private sector","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0004995023,0.00132795,0.001666174,0.001203467,0.002478972,0.0002741819,0.003645552,0.001381297,0.001835203],"category_scores_gemma":[0.0001109903,0.001461357,0.001432364,0.0009110813,0.003655668,0.0009310796,0.001277577,0.001206648,0.0003648806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003661801,"about_ca_system_score_gemma":0.003030614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307239,"about_ca_topic_score_gemma":0.003795605,"domain_scores_codex":[0.9937217,0.000955327,0.0008091879,0.001395416,0.001720955,0.001397451],"domain_scores_gemma":[0.9946638,0.0002053972,0.002059944,0.001517851,0.0007494168,0.0008035533],"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":[0.003779844,0.001589917,0.0357473,0.000904223,0.003347093,0.002143852,0.004961263,0.006566378,0.06284538,0.01012693,0.8677323,0.0002554726],"study_design_scores_gemma":[0.01322202,0.0008155024,0.04643526,0.007136215,0.00136982,0.003151933,0.009816932,0.005464702,0.009453171,0.000884388,0.8980611,0.004188932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5493871,0.0008070031,0.001979998,0.001035336,0.001846705,0.001454799,0.001272514,0.0006318025,0.4415848],"genre_scores_gemma":[0.5894348,0.00008047844,0.003565886,0.0001385388,0.0005531943,0.000002138873,0.0001627028,0.0003587732,0.4057035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05339221,"threshold_uncertainty_score":0.9999472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282226054116175,"score_gpt":0.2223544309955602,"score_spread":0.2095321704543985,"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."}}