{"id":"W4401999224","doi":"10.5380/raega.v59i0.94933","title":"MINING IN CARBONATE ROCKS IN THE METROPOLITAN REGION OF CURITIBA, PR: CHALLENGES FOR THE PRESERVATION OF KARST AND SPELEOLOGICAL HERITAGE","year":2024,"lang":"en","type":"article","venue":"Raega - O Espaço Geográfico em Análise","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"Universidade Federal do Paraná","keywords":"Karst; Curitiba; Geology; Carbonate; Metropolitan area; Carbonate rock; Geochemistry; Sinkhole; Mining engineering; Archaeology; Geography; Sedimentary rock; Paleontology; Humanities; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002243396,0.0002211318,0.0001806524,0.001734739,0.0007160808,0.0009003408,0.0004229264,0.0002209242,0.001173751],"category_scores_gemma":[0.0008347669,0.0001912206,0.0002250176,0.002754583,0.0004353514,0.0003764381,0.0008494403,0.0002923083,0.0002522505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002620222,"about_ca_system_score_gemma":0.005838532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5667875,"about_ca_topic_score_gemma":0.828504,"domain_scores_codex":[0.9997637,0.00003065785,0.00001549595,0.00004246333,0.00006488286,0.00008284317],"domain_scores_gemma":[0.999726,0.0000396847,0.00009126563,0.00001846385,0.00007563315,0.00004890635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006680976,0.0001771053,0.9463941,0.0004397446,0.00009956562,0.002327032,0.003657767,0.0009730311,0.006850393,0.0006589951,0.00203512,0.03632026],"study_design_scores_gemma":[0.000003125391,0.00002089049,0.9896134,0.00005749518,0.00002354544,0.000430747,0.004270602,0.0008312868,0.0003710068,0.00004036743,0.004329361,0.000008364761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938517,0.0002899109,0.0001892268,0.0005349531,0.00000413432,0.0001274281,0.001899363,0.00002308676,0.003080118],"genre_scores_gemma":[0.9934831,0.0008450212,0.00144203,0.0001250631,0.00001065756,0.00009646731,0.002160551,0.00001342235,0.001823599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5667875,"threshold_uncertainty_score":0.8715276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918625077463311,"score_gpt":0.2372764978782241,"score_spread":0.208090247103591,"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."}}