{"id":"W3000544632","doi":"10.1144/geochem2019-039","title":"Recent advances in the application of mineral chemistry to exploration for porphyry copper–gold–molybdenum deposits: detecting the geochemical fingerprints and footprints of hypogene mineralization and alteration","year":2020,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Australian Research Council","keywords":"Hypogene; Porphyry copper deposit; Mineralization (soil science); Molybdenum; Geochemistry; Copper; Geology; Mineral exploration; Molybdenite; Pyrite; Mineralogy; Chemistry; Fluid inclusions; Inorganic chemistry; Soil science; Hydrothermal circulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002261865,0.0009504243,0.000551354,0.002535049,0.0003655869,0.001124851,0.0008181175,0.001145335,0.001365016],"category_scores_gemma":[0.001466583,0.0004872262,0.0004777008,0.001970274,0.001034017,0.001364799,0.001213827,0.00115685,0.00064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006322225,"about_ca_system_score_gemma":0.0005400481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755444,"about_ca_topic_score_gemma":0.003602766,"domain_scores_codex":[0.9992185,0.000140672,0.00004578587,0.000309734,0.0002343325,0.00005102339],"domain_scores_gemma":[0.9985575,0.0004421179,0.0002821643,0.0001348558,0.0004502329,0.0001332348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002404642,0.0001250299,0.01969494,0.003906454,0.0002165211,0.0002986319,0.0004528479,0.001854871,0.5380686,0.003118191,0.003224048,0.4287994],"study_design_scores_gemma":[0.00004499754,0.0007028035,0.07879813,0.0006003536,0.0005309184,0.004123835,0.001393985,0.02181979,0.6307504,0.009733583,0.2511847,0.0003165805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2138097,0.5776477,0.1762817,0.005984754,0.000710999,0.0001614887,0.001185518,0.001187719,0.02303039],"genre_scores_gemma":[0.4060972,0.2894756,0.2925432,0.001894737,0.0009248199,0.0001469767,0.0009312701,0.0001383935,0.007847759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002535049,"threshold_uncertainty_score":0.011962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901719885892356,"score_gpt":0.227290049608134,"score_spread":0.2082728507492104,"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."}}