{"id":"W2981698509","doi":"10.4095/212640","title":"Regional stream sediment and water geochemical data, southwestern Yukon","year":2001,"lang":"en","type":"report","venue":"","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Sediment; Hydrology (agriculture); Geochemistry; Physical geography; Earth science; Geomorphology; Geography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007195604,0.0005859695,0.000386992,0.002618438,0.0007200852,0.0007391939,0.0008125175,0.0002880086,0.003929552],"category_scores_gemma":[0.001759827,0.0004708295,0.0002802708,0.004975284,0.0001836903,0.0004499506,0.0007119638,0.0002125375,0.001550615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320361,"about_ca_system_score_gemma":0.008561774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7683737,"about_ca_topic_score_gemma":0.8297888,"domain_scores_codex":[0.9995415,0.00005013199,0.00008920942,0.00008171972,0.0001431044,0.0000943222],"domain_scores_gemma":[0.9983178,0.0001165802,0.0001853321,0.0001887606,0.001070144,0.000121444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005362413,0.0001929904,0.8748593,0.0004573293,0.000189106,0.000489761,0.001276418,0.002721485,0.003570893,0.0008327406,0.06054673,0.05432689],"study_design_scores_gemma":[0.00007395691,0.0000524271,0.9569514,0.00004739918,0.0001074585,0.0001339558,0.001490361,0.00122334,0.002930243,0.00006496543,0.03690753,0.00001709222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.510509,0.0003156658,0.001130462,0.0001686788,0.00002901184,0.0002944012,0.4719629,0.00034317,0.01524666],"genre_scores_gemma":[0.433964,0.0008418059,0.00658658,0.00007949463,0.00001132136,0.0005422656,0.498687,0.0001570866,0.05913042],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2316263,"threshold_uncertainty_score":0.4659807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07156285077860931,"score_gpt":0.3389298003343411,"score_spread":0.2673669495557318,"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."}}