{"id":"W2982228308","doi":"10.4095/306094","title":"Stream sediment geochemistry and heavy minerals","year":2017,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geochemistry; Sediment; Geology; Heavy mineral; Geomorphology; Provenance","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":[0.0006412397,0.0003347327,0.000166273,0.001560971,0.0006125639,0.0007054335,0.0002307297,0.0002822654,0.00455431],"category_scores_gemma":[0.0005858825,0.0001728001,0.0002345948,0.001660655,0.0002093016,0.0003691104,0.0005886907,0.0002163501,0.002140629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009896264,"about_ca_system_score_gemma":0.002606742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07318372,"about_ca_topic_score_gemma":0.1661319,"domain_scores_codex":[0.9995729,0.0000250202,0.00002272525,0.00004520896,0.0002872044,0.0000469186],"domain_scores_gemma":[0.9996063,0.00002798916,0.00004919813,0.00002286244,0.0002547642,0.00003886341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001348176,0.0006089072,0.7501758,0.0004317733,0.0001336492,0.0006377228,0.0002450417,0.001703748,0.07085487,0.002137205,0.05414922,0.1175739],"study_design_scores_gemma":[0.00003324565,0.0001751342,0.8131584,0.00004404122,0.00006123674,0.0002294621,0.0002851954,0.00153619,0.09057123,0.0005058126,0.0933836,0.00001644822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7798541,0.001653985,0.003317025,0.0007878732,0.0002548906,0.0003775705,0.1069289,0.0002364095,0.1065893],"genre_scores_gemma":[0.702884,0.004755968,0.005303693,0.0001580579,0.0001504876,0.0001503115,0.07704535,0.0001043603,0.2094478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07318372,"threshold_uncertainty_score":0.1455155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325433445318594,"score_gpt":0.252171083487937,"score_spread":0.2289167490347511,"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."}}