{"id":"W4406632831","doi":"10.1016/j.oregeorev.2025.106463","title":"Critical raw material potential of porphyry copper-gold deposits in the Golden Triangle, northwest British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; Hudbay Minerals (Canada); University of British Columbia, Okanagan Campus; Geological Survey of Canada; University of British Columbia Hospital; Université du Québec à Chicoutimi; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Geology; Porphyry copper deposit; Geochemistry; Copper; Mining engineering; Archaeology; Seismology; Fluid inclusions; Metallurgy; Hydrothermal circulation; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005016481,0.0001173109,0.0006426862,0.00002734865,0.00009046491,0.00006907944,0.0004909087,0.0001251389,0.00694487],"category_scores_gemma":[0.0004309271,0.00009776196,0.0001513708,0.00044729,0.0002693725,0.00005023869,0.00004077507,0.0001935816,0.00003214811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004839669,"about_ca_system_score_gemma":0.0001279115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9658653,"about_ca_topic_score_gemma":0.9989778,"domain_scores_codex":[0.9980929,0.0004483661,0.0006192542,0.0003058633,0.0001714925,0.0003621478],"domain_scores_gemma":[0.9992992,0.0002467669,0.00009703152,0.0002253364,0.00005999376,0.00007173017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002239778,0.00004220725,0.9493683,0.0000905716,0.00002076804,0.0001919111,0.00000737489,0.00002498425,0.0000461424,0.00002529125,0.02381395,0.02634611],"study_design_scores_gemma":[0.000223629,0.00005626701,0.9741282,0.000053624,0.00008550811,0.00007831354,0.00003079894,0.00006014785,0.00001499913,0.001413089,0.02373906,0.0001162888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983992,0.00850042,0.000005659806,0.002693694,0.0003848735,0.0002942981,0.0000985279,0.000007375308,0.004023096],"genre_scores_gemma":[0.9956114,0.0009226769,0.0001141413,0.002344571,0.00008097656,0.000008876817,0.0002999906,0.000001176945,0.000616222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03311254,"threshold_uncertainty_score":0.9939629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007767797023595438,"score_gpt":0.2019546686501124,"score_spread":0.194186871626517,"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."}}