{"id":"W3052529732","doi":"10.5194/soil-7-743-2021","title":"Combining colour parameters and geochemical tracers to improve sediment source discrimination in a mining catchment (New Caledonia, South Pacific Islands)","year":2021,"lang":"en","type":"article","venue":"SOIL","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"Agence Nationale de la Recherche","keywords":"Tributary; Archipelago; Drainage basin; Sediment; Geology; Sedimentary rock; Hydrology (agriculture); Oceanography; Geochemistry; Geomorphology; Geography","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":[0.0004014617,0.0003737471,0.0003470286,0.001059144,0.000518345,0.001138953,0.0004618512,0.0003284346,0.0003917771],"category_scores_gemma":[0.0006887708,0.0002481215,0.0002927874,0.001343044,0.0004536278,0.0002725849,0.0005179304,0.0003055044,0.00006965356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791499,"about_ca_system_score_gemma":0.0009539283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2754713,"about_ca_topic_score_gemma":0.5087323,"domain_scores_codex":[0.9998548,0.00001748344,0.0000102821,0.00005767377,0.0000337204,0.00002608065],"domain_scores_gemma":[0.9997584,0.00006169266,0.00004811008,0.00001876424,0.00007296135,0.00004001079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003107816,0.0001397412,0.9098191,0.0001335813,0.0002229098,0.001011432,0.001501094,0.005698646,0.05210561,0.0001089559,0.0002848663,0.02866328],"study_design_scores_gemma":[0.000008441967,0.0000252426,0.9915867,0.00000823411,0.00003604646,0.00004994333,0.0005669986,0.00602585,0.00133215,0.00001761631,0.0003355971,0.000007173307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994528,0.00004972848,0.0001784654,0.000008682496,9.776261e-7,0.00000912001,0.0000681778,0.000006472997,0.0002256795],"genre_scores_gemma":[0.9980361,0.00005887283,0.001361251,0.00001513705,0.000001306767,0.00001046755,0.0001955554,0.000004529,0.0003168622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754713,"threshold_uncertainty_score":0.5477358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245878359085244,"score_gpt":0.2203423164647718,"score_spread":0.2078835328739193,"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."}}