{"id":"W2922820498","doi":"10.31214/ijthfa.v2i1.26","title":"Paleo heat flow in areas of Sedimentary Exhalative (SEDEX) deposits of Eastern Brazil","year":2019,"lang":"en","type":"article","venue":"International Journal of Terrestrial Heat Flow and Applied Geothermics","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro","keywords":"Geology; Crust; Geothermal gradient; Geochemistry; Precambrian; Tectonics; Magma; Radiogenic nuclide; Sedimentary rock; Hydrothermal circulation; Petrology; Geomorphology; Volcano; Mantle (geology); Geophysics; Seismology","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":[0.00009843618,0.0001595037,0.0001075461,0.0009261399,0.0002232573,0.0002832194,0.0001307785,0.0001112531,0.0004507955],"category_scores_gemma":[0.0003343672,0.0001151796,0.0001397191,0.0007139525,0.0002870825,0.0001725187,0.0003048852,0.00005597805,0.00005390334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006928513,"about_ca_system_score_gemma":0.0002025199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05557366,"about_ca_topic_score_gemma":0.1074641,"domain_scores_codex":[0.9999535,0.000007077917,0.000004909664,0.00001482119,0.000008898744,0.00001077496],"domain_scores_gemma":[0.9999193,0.00001771657,0.00002781801,0.000006883747,0.00001906204,0.000009234112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009668682,0.00001102859,0.973377,0.00005226185,0.00004447596,0.0002488689,0.001724161,0.001579989,0.01366114,0.0002839397,0.00005906374,0.008861383],"study_design_scores_gemma":[0.000003506937,0.00001019648,0.9974654,0.000005164499,0.000008363239,0.0000718698,0.0003059964,0.001025397,0.0007391151,0.00005024063,0.0003121194,0.00000266849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994338,0.0000386924,0.00004520603,0.000005207707,2.243432e-7,0.000002099235,0.0001545609,0.000003035451,0.0003170189],"genre_scores_gemma":[0.9997963,0.00002217782,0.00004959594,8.735933e-7,2.703996e-7,0.000001593717,0.00008078324,7.859539e-7,0.00004766457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05557366,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009215624734866475,"score_gpt":0.2212693859343211,"score_spread":0.2120537611994546,"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."}}