{"id":"W2982150197","doi":"10.4095/291919","title":"Geochemical background in soil and till - an evaluation of additional elements from geochemical surveys of soils and tills: addendum to GSC Open File 5084","year":2012,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Addendum; Soil water; Geology; Geochemistry; Earth science; Soil science","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":[0.0005487023,0.000431925,0.0005398403,0.003087035,0.0004388675,0.0007491512,0.0009324956,0.0004487761,0.03500438],"category_scores_gemma":[0.0012591,0.0003824948,0.0005438894,0.007002459,0.0001228505,0.0008799902,0.0007997117,0.0002612399,0.01361514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007207992,"about_ca_system_score_gemma":0.001083203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03737485,"about_ca_topic_score_gemma":0.07326309,"domain_scores_codex":[0.9996154,0.00002203142,0.00002645617,0.00005228828,0.0002477202,0.00003599788],"domain_scores_gemma":[0.9990859,0.0001839032,0.00007527153,0.0001416789,0.0004461654,0.00006709335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003924741,0.0007526876,0.1935958,0.002737304,0.0002529755,0.0008668596,0.0008807232,0.01345519,0.06091971,0.002956795,0.3195586,0.4000986],"study_design_scores_gemma":[0.000380658,0.0003930303,0.5516037,0.0001305436,0.0003178143,0.0004792929,0.0009013264,0.009719205,0.1075453,0.003328768,0.3250932,0.0001070891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1284176,0.0003447734,0.006064445,0.0002570177,0.00009659662,0.0002344344,0.825119,0.003493125,0.03597299],"genre_scores_gemma":[0.1959439,0.0007711278,0.02986638,0.00009163183,0.00007334819,0.0002536853,0.7297604,0.001860228,0.0413794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03737485,"threshold_uncertainty_score":0.1171013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1427196910436259,"score_gpt":0.3420341603175025,"score_spread":0.1993144692738766,"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."}}