{"id":"W3036791933","doi":"10.15628/holos.2020.9460","title":"ANALYSIS OF BRAZILIAN AND FOREIGN MINING LEGISLATION","year":2020,"lang":"en","type":"article","venue":"Holos","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Subject (documents); Table (database); Political science; Law; Data mining; Library science; Computer science","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":[0.00434083,0.0001931682,0.0004219152,0.008984422,0.001698387,0.001989122,0.0003848433,0.0003294522,0.005068674],"category_scores_gemma":[0.01871235,0.0001555316,0.0003894899,0.01297913,0.001179054,0.0006483859,0.0009930179,0.000481034,0.0003878533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005820608,"about_ca_system_score_gemma":0.005678829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09632673,"about_ca_topic_score_gemma":0.1079178,"domain_scores_codex":[0.9965623,0.0007465126,0.000287865,0.0003027556,0.001524635,0.0005759351],"domain_scores_gemma":[0.9878069,0.005924391,0.002125726,0.0004471719,0.003398608,0.0002972045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002782683,0.000272647,0.5629402,0.002171355,0.0001356653,0.001542688,0.08404646,0.001111768,0.002887527,0.1331205,0.01013514,0.2013578],"study_design_scores_gemma":[0.000005804393,0.00006725798,0.8332069,0.0007562643,0.00008784736,0.0004022183,0.05032354,0.000784499,0.000798304,0.00144389,0.1121012,0.0000224135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8175741,0.004122048,0.0007512479,0.001423321,0.00004905946,0.000157611,0.002617657,0.00003447474,0.1732706],"genre_scores_gemma":[0.9892488,0.002403895,0.0007519002,0.0001619939,0.00002129643,0.00009632412,0.001674679,0.00002205746,0.005618965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09632673,"threshold_uncertainty_score":0.1915321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08985651189729449,"score_gpt":0.3739800617474134,"score_spread":0.284123549850119,"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."}}