{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002562071,0.0009932375,0.0004565785,0.01263086,0.003061189,0.001767419,0.003104996,0.0005623124,0.004039148],"category_scores_gemma":[0.003859317,0.0006816647,0.0004235315,0.03230768,0.0007003813,0.0006281119,0.00156295,0.000650186,0.0006987632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05568903,"about_ca_system_score_gemma":0.1021913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974201,"about_ca_topic_score_gemma":0.9986281,"domain_scores_codex":[0.9967914,0.0002804272,0.0001621823,0.0002565112,0.00171125,0.000798195],"domain_scores_gemma":[0.9877933,0.0003955859,0.0003937371,0.0002744171,0.01028177,0.0008612123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001705004,0.0003345505,0.4835033,0.002320038,0.0001587116,0.0009464255,0.004457069,0.002619463,0.001614253,0.004442566,0.217527,0.281906],"study_design_scores_gemma":[0.0000209286,0.00005680202,0.7668592,0.0007459801,0.00008128727,0.0003374204,0.005348005,0.001046913,0.0009066352,0.0002017324,0.2243484,0.00004665531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3392916,0.0512956,0.009095144,0.009384464,0.0005190921,0.004555843,0.3939327,0.001208089,0.1907174],"genre_scores_gemma":[0.580385,0.05434254,0.03542735,0.002947688,0.0001836041,0.001512188,0.2494229,0.0003540733,0.07542465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05568903,"threshold_uncertainty_score":0.4040541,"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."}}