{"id":"W4312912767","doi":"10.1130/abs/2022am-379752","title":"ADVANCEMENT OF EXPLORATION DRILL CORE SCANNING USING HYPERSPECTRAL IMAGING: CASE STUDY OF THE LARONDE PENNA AU-RICH VOLCANOGENIC MASSIVE SULFIDE DEPOSIT QUEBEC, CANADA","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hyperspectral imaging; Geology; Drill; Sulfide; Geochemistry; Core (optical fiber); Mining engineering; Remote sensing; Computer science; Materials science; Metallurgy","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":[0.0003913754,0.0002422227,0.0001365781,0.00084232,0.001965617,0.001052453,0.0006764177,0.0005813341,0.001398581],"category_scores_gemma":[0.0006980787,0.0001961168,0.0001531619,0.001596854,0.0006061791,0.0002891429,0.0004397029,0.0003731491,0.0001476086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009307251,"about_ca_system_score_gemma":0.0101517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9650827,"about_ca_topic_score_gemma":0.9945052,"domain_scores_codex":[0.9997637,0.00002368124,0.00000585415,0.00002114961,0.000104575,0.00008114466],"domain_scores_gemma":[0.9995019,0.00008478164,0.00003820905,0.00002499064,0.0002763906,0.00007357616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007822081,0.0006298136,0.6195272,0.0004543071,0.0002117055,0.02852207,0.01089664,0.03543901,0.06479408,0.003633107,0.02065517,0.2144547],"study_design_scores_gemma":[0.00004242669,0.000117898,0.9098055,0.000104836,0.00008447562,0.002055682,0.01974896,0.03103555,0.006808785,0.0002612647,0.02987743,0.00005718218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830944,0.0002463265,0.0008773603,0.0005586247,0.00001021903,0.00006922607,0.0005797378,0.00004390753,0.01452023],"genre_scores_gemma":[0.9928523,0.0002222468,0.002066178,0.00006987666,0.000003832956,0.000008285355,0.000183692,0.00001064848,0.004583038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03491729,"threshold_uncertainty_score":0.0702458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888096735551327,"score_gpt":0.2323096810156969,"score_spread":0.2034287136601836,"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."}}