{"id":"W4302283587","doi":"10.11137/1982-3908_2022_45_43136","title":"Sedimentary Patterns and Spatial Distributions of Heavy Minerals along the Continental Shelf in the Espírito Santo State, Brazil","year":2022,"lang":"en","type":"article","venue":"Anuário do Instituto de Geociências","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo","keywords":"Sedimentary rock; Continental shelf; Geology; Heavy mineral; Sedimentation; Sediment; Geochemistry; Maturity (psychological); Oceanography; Geomorphology","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":[0.0001907104,0.0001264484,0.0001203364,0.001093287,0.0002501653,0.0002888148,0.0001551224,0.0001410694,0.0005106695],"category_scores_gemma":[0.0004897434,0.0001304493,0.0001204999,0.0009543593,0.000407092,0.0001596741,0.0004617216,0.00006265759,0.0000619501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004818676,"about_ca_system_score_gemma":0.0003344548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08572638,"about_ca_topic_score_gemma":0.2201748,"domain_scores_codex":[0.9999247,0.00001088212,0.000009453773,0.00002339398,0.00001694853,0.00001466342],"domain_scores_gemma":[0.9998228,0.00003459482,0.00006262389,0.000013404,0.00004700903,0.0000196724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003077193,0.000009249953,0.984058,0.00003609508,0.00002985984,0.0001231265,0.00168362,0.00009160346,0.005414582,0.0001709372,0.00004637741,0.008305911],"study_design_scores_gemma":[8.735948e-7,0.000008511818,0.9988545,0.000007056296,0.000005546437,0.0000434064,0.0006245889,0.00007709197,0.0001152589,0.00002159457,0.0002400315,0.000001511424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992206,0.00009070551,0.00003585159,0.00001438162,4.412088e-7,0.000002862452,0.000115176,0.000001912322,0.0005180282],"genre_scores_gemma":[0.9995881,0.00007201876,0.00008000578,0.000004115912,4.731897e-7,0.000002032765,0.0001018819,6.446946e-7,0.0001508987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08572638,"threshold_uncertainty_score":0.1704548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016873703635664,"score_gpt":0.2275911382780769,"score_spread":0.2174224012417202,"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."}}