{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000599072,0.0001532328,0.0002130516,0.00007170584,0.00008064256,0.0000229552,0.0002541837,0.00008006664,0.00003941597],"category_scores_gemma":[0.00005958133,0.00009444452,0.00008867811,0.0003212526,0.0004077384,0.0001840494,0.0001988753,0.0001311717,0.000001521279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005304993,"about_ca_system_score_gemma":0.000002747204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207924,"about_ca_topic_score_gemma":0.003192792,"domain_scores_codex":[0.9987739,0.0001040569,0.0003011995,0.0003096512,0.0002486604,0.0002625343],"domain_scores_gemma":[0.9992557,0.0004273263,0.00007021269,0.0002161437,0.000003875648,0.00002672641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002084214,0.0004665384,0.9394429,0.0003990517,0.00007210901,0.00005302387,0.02698019,0.001590525,0.000933462,0.003004932,0.0004901042,0.0263587],"study_design_scores_gemma":[0.0004470937,0.0002913165,0.9671356,0.0001115978,0.00004131385,0.000008958888,0.02093558,0.003094155,0.0001920255,0.002752336,0.004823864,0.0001661365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753972,0.02031144,0.000027853,0.001508841,0.0000569091,0.0005418988,0.00001142043,0.00001162269,0.002132784],"genre_scores_gemma":[0.9959912,0.003671427,0.0001142511,0.00004719723,0.00002367862,0.00009219674,0.000003382606,0.000009294971,0.00004732028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02769268,"threshold_uncertainty_score":0.3851336,"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."}}