{"id":"W3217394615","doi":"10.1111/1365-2478.13169","title":"Evidential data integration to produce porphyry Cu prospectivity map, using a combination of knowledge and data‐driven methods","year":2021,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Prospectivity mapping; Mineral exploration; Geology; Mineral resource classification; Mineralization (soil science); Mineral deposit; Economic geology; Overlay; Porphyry copper deposit; Data mining; Geochemistry; Hydrogeology; Computer science; Hydrothermal circulation; Geomorphology; Soil science; Seismology","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":[0.001394491,0.0006909651,0.0004871561,0.00411769,0.0003352798,0.001596133,0.0007407026,0.0004246435,0.001007668],"category_scores_gemma":[0.003398209,0.0003798773,0.0007853792,0.001759217,0.0003056504,0.001472557,0.001078042,0.0004661337,0.0002844748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005647888,"about_ca_system_score_gemma":0.001043834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480928,"about_ca_topic_score_gemma":0.006304475,"domain_scores_codex":[0.999111,0.0001272481,0.0001090622,0.0001881018,0.0004062604,0.00005824033],"domain_scores_gemma":[0.9984591,0.000396497,0.0001771664,0.0001670501,0.0007567319,0.00004350934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001813919,0.000289041,0.02040374,0.0005504891,0.0002825668,0.0002819574,0.0008621727,0.09894975,0.05930924,0.005775258,0.001467232,0.8116472],"study_design_scores_gemma":[0.00002645036,0.0001359072,0.02014601,0.00007632869,0.0001456891,0.0001461842,0.0005710747,0.904494,0.05769223,0.009710996,0.006780487,0.00007447028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04719469,0.00008474181,0.9495723,0.00006418708,0.00001255916,0.0001473273,0.0003878805,0.001126303,0.001409936],"genre_scores_gemma":[0.3253239,0.0001064486,0.6727052,0.00003098535,0.00001072609,0.0001664169,0.0007867869,0.00006187322,0.0008076754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00480928,"threshold_uncertainty_score":0.009562612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08712633189699825,"score_gpt":0.3809051676435475,"score_spread":0.2937788357465493,"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."}}