{"id":"W3214763214","doi":"10.1144/geochem2021-070","title":"Overview of surficial geochemistry and indicator mineral surveys and case studies from the Geological Survey of Canada's GEM Program","year":2021,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"Commission Géologique du Canada","keywords":"Geology; Geological survey; Geochemistry; Mining engineering; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216174,0.0002186904,0.0005183902,0.00002056723,0.0001557398,0.00003892668,0.0002758076,0.000119095,0.0001359574],"category_scores_gemma":[0.0005227411,0.0001778439,0.00008707988,0.0004749625,0.0002963359,0.0001113272,0.0005263132,0.0001432402,2.699248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003741881,"about_ca_system_score_gemma":0.0001439895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01670946,"about_ca_topic_score_gemma":0.03284088,"domain_scores_codex":[0.997845,0.0004580264,0.0005213929,0.0005820387,0.0003645542,0.0002290219],"domain_scores_gemma":[0.9981619,0.0005567233,0.0003916053,0.0006361461,0.0001527775,0.0001009174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003209161,0.0006543027,0.9199623,0.0005553046,0.004963939,0.001005049,0.002058626,0.003863613,0.04544943,0.00010816,0.001814926,0.01953224],"study_design_scores_gemma":[0.0009823943,0.00007994252,0.7344334,0.00007673202,0.0011958,0.0001959075,0.003501959,0.02998875,0.2259795,0.001439983,0.001183168,0.0009424971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918285,0.003424353,0.00303621,0.00130676,0.00001857299,0.0001193617,0.0001580824,0.00001613173,0.0000920306],"genre_scores_gemma":[0.9969803,0.0008284614,0.00146577,0.00003586263,0.0000267825,0.00003928319,0.0004621026,0.000002380101,0.0001590361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185529,"threshold_uncertainty_score":0.9898384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05333023781037924,"score_gpt":0.2624742282452065,"score_spread":0.2091439904348273,"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."}}