{"id":"W4289646729","doi":"10.4095/330473","title":"Overview of GEM surficial geochemistry and indicator mineral surveys and case studies in northern Canada","year":2022,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Bedrock; Geology; Mineral exploration; Geochemistry; Sediment; Heavy mineral; Geological survey; Mineral resource classification; Earth science; Hydrology (agriculture); Physical geography; Geomorphology; Geography","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":[0.001607008,0.000675999,0.0004506615,0.007903817,0.003889861,0.002028736,0.001788544,0.000426442,0.002022433],"category_scores_gemma":[0.002539784,0.0004887606,0.0004768173,0.0231168,0.0009302217,0.0004686295,0.001572211,0.0004729128,0.000284617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0756577,"about_ca_system_score_gemma":0.09284258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981173,"about_ca_topic_score_gemma":0.999235,"domain_scores_codex":[0.9980562,0.0001385772,0.0001318414,0.0002010879,0.0008637583,0.0006085653],"domain_scores_gemma":[0.9953213,0.0002411956,0.0003112596,0.00011146,0.003443582,0.0005711864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001740397,0.0001672313,0.7389243,0.002103264,0.0002105131,0.00226678,0.01122419,0.002517299,0.002738873,0.002821158,0.03126093,0.2055914],"study_design_scores_gemma":[0.000008728418,0.00004470674,0.921791,0.0005603047,0.00008233995,0.0006386261,0.0135089,0.0008241241,0.001021032,0.0001771837,0.06129307,0.00004991075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7947753,0.04055411,0.005299608,0.003515306,0.0001474747,0.001469485,0.06636964,0.0006875467,0.08718145],"genre_scores_gemma":[0.9003848,0.03428242,0.01451819,0.001073774,0.00004239473,0.0003984685,0.02593223,0.0001348173,0.02323297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0756577,"threshold_uncertainty_score":0.5489376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0751254586715536,"score_gpt":0.3028609393567831,"score_spread":0.2277354806852295,"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."}}