{"id":"W2188231828","doi":"","title":"Geochemical, Mineralogical and Indicator Mineral Data for Stream Silt Sediment, Heavy Mineral Concentrates and Waters, Flat River area, Northwest Territories, (part of NTS 95E, 105H and 105I)","year":2015,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heavy mineral; Geology; Mineral; Sediment; Silt; Geochemistry; Hydrology (agriculture); Mineralogy; Environmental science; Geomorphology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001895606,0.0002282285,0.0003386431,0.00003397579,0.00009616071,0.00007468588,0.0001979257,0.0001075534,0.0002924994],"category_scores_gemma":[0.00005023165,0.0001613377,0.0000299634,0.00008229453,0.0004521892,0.0003178956,0.0001016245,0.00007728628,0.000001513365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003973543,"about_ca_system_score_gemma":0.0000365229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104126,"about_ca_topic_score_gemma":0.009017974,"domain_scores_codex":[0.9985882,0.00002569752,0.0003202964,0.0005122045,0.0002096251,0.0003439963],"domain_scores_gemma":[0.9990782,0.00008965129,0.00009508809,0.0002499566,0.00004607889,0.0004410458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001457969,0.00004106141,0.9802971,0.00004933976,0.00007243014,0.0000057149,0.0001295018,0.000006883775,0.002586397,0.000003398519,0.01591263,0.0007497575],"study_design_scores_gemma":[0.01155931,0.002572907,0.7895378,0.0001682696,0.001170617,0.0002419863,0.003522369,0.03310229,0.04745648,0.001151395,0.1070628,0.002453755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944798,0.0007290237,0.000004924446,0.0003994981,0.00007540798,0.0001701231,0.003907725,0.00001583742,0.0002176288],"genre_scores_gemma":[0.986164,0.0001245185,0.00122601,0.0001547123,0.0001669475,0.000002505167,0.01183595,0.000003020585,0.0003223275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1907592,"threshold_uncertainty_score":0.9955443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343178778318164,"score_gpt":0.2298299228086744,"score_spread":0.195512044976858,"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."}}