{"id":"W3034578963","doi":"10.14393/ufu.te.2020.363","title":"Do outro lado da rua: riscos associados ao uso do território e bem-estar social de moradores em função da mineração em Paracatu-MG.","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appropriation; Government (linguistics); Gold mining; Geography; Field research; Tailings; Population; Socioeconomics; Welfare; Qualitative research; Business; Political science; Sociology; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005786318,0.00174582,0.001755714,0.0005310914,0.0008221599,0.00246531,0.001372712,0.001351466,0.001236198],"category_scores_gemma":[0.0002238609,0.001790283,0.0008992773,0.0007219481,0.00008147427,0.0007512113,0.0003173953,0.001975341,0.0009473705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006424481,"about_ca_system_score_gemma":0.0002422835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261115,"about_ca_topic_score_gemma":0.002086196,"domain_scores_codex":[0.9937213,0.0002567911,0.001563624,0.00148028,0.00123902,0.001738983],"domain_scores_gemma":[0.9977418,0.0001694084,0.0006974163,0.0007021448,0.0002539467,0.0004352361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002785748,0.001412375,0.03667056,0.01731614,0.01302635,0.001128958,0.3857882,0.01054201,0.01370957,0.009881841,0.2814142,0.226324],"study_design_scores_gemma":[0.01295002,0.001764305,0.06040234,0.003819046,0.01006554,0.00002528388,0.4409405,0.1345125,0.008950884,0.002278375,0.3045597,0.01973154],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520735,0.006931376,0.002024933,0.001612768,0.004518676,0.002717976,0.0004805852,0.002045911,0.02759433],"genre_scores_gemma":[0.9419488,0.0006526887,0.001268099,0.0003932429,0.001694279,0.0002812257,0.003286819,0.0004816111,0.04999325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2065925,"threshold_uncertainty_score":0.999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717848862510634,"score_gpt":0.2621278141759529,"score_spread":0.2349493255508466,"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."}}