{"id":"W2087885514","doi":"10.1144/geochem2014-290","title":"From tree-tops to massive sulphide in the Mabel Lake area, British Columbia, Canada","year":2014,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPS; Archaeology; Tree (set theory); Geography; History; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001457002,0.000259136,0.000196697,0.001680089,0.004349606,0.001422785,0.0009501993,0.0003406865,0.004988623],"category_scores_gemma":[0.0005851143,0.0003036541,0.0001054923,0.003172114,0.0008122841,0.0003824107,0.0006972266,0.0004405718,0.0004723289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02030116,"about_ca_system_score_gemma":0.02275408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971449,"about_ca_topic_score_gemma":0.9995863,"domain_scores_codex":[0.9997547,0.00001228006,0.00001032255,0.00005052449,0.00007672975,0.00009532095],"domain_scores_gemma":[0.9994704,0.00002564642,0.00004692319,0.000009281568,0.0003062102,0.0001415366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166394,0.0001334495,0.8737155,0.0002855365,0.00005684577,0.001937614,0.008684615,0.0004475639,0.005572395,0.0006877565,0.01957146,0.08879054],"study_design_scores_gemma":[0.000007137865,0.0000130631,0.9810426,0.00009356459,0.00001220291,0.0001647814,0.007364824,0.0003659935,0.0002023217,0.00006104347,0.01065752,0.00001506322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785402,0.001732684,0.0001719663,0.001201553,0.00002270735,0.00008013222,0.002825487,0.0000546766,0.01537057],"genre_scores_gemma":[0.9796097,0.001278854,0.0005342379,0.0003009294,0.000005511493,0.00003433971,0.001245955,0.00001594603,0.01697453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02030116,"threshold_uncertainty_score":0.1472959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008237452978074801,"score_gpt":0.1690022346456512,"score_spread":0.1607647816675764,"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."}}