{"id":"W2522949544","doi":"10.1016/j.jafrearsci.2016.09.028","title":"A deposit scale mineral prospectivity analysis: A comparison of various knowledge-driven approaches for porphyry copper targeting in Seridune, Iran","year":2016,"lang":"en","type":"article","venue":"Journal of African Earth Sciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prospectivity mapping; Geology; Porphyry copper deposit; Geochemistry; Mineral deposit; Copper; Scale (ratio); Mineral; Mining engineering; Geomorphology; Seismology; Fluid inclusions; Cartography; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001827869,0.000123182,0.0004946354,0.0003077828,0.0001355959,0.00007279808,0.00133212,0.00004949965,0.000004100671],"category_scores_gemma":[0.0002663496,0.00007620586,0.000160558,0.001563121,0.0002993605,0.0005912614,0.0002183587,0.0001138008,6.011084e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001700608,"about_ca_system_score_gemma":0.0001759762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000321404,"about_ca_topic_score_gemma":0.000405198,"domain_scores_codex":[0.9982688,0.0001026448,0.0005995694,0.000359535,0.0003512163,0.0003181625],"domain_scores_gemma":[0.9984872,0.0002561721,0.0006963591,0.0002580844,0.0002060447,0.00009617983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004198952,0.0004442511,0.9640725,0.00004781533,0.0001113127,0.000006369437,0.004351554,0.01006077,0.01520911,0.0004723206,0.000316476,0.004865562],"study_design_scores_gemma":[0.001276797,0.001164671,0.4395359,0.0002328092,0.0001509983,0.00006396843,0.002389975,0.5332266,0.01813129,0.002615545,0.0007792201,0.000432215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8927903,0.000448358,0.1021163,0.00163351,0.0001220729,0.0001516914,0.000004156758,0.00001388545,0.002719654],"genre_scores_gemma":[0.9493769,0.000003137615,0.0504511,0.000007105792,0.00006322368,0.000003143329,2.807556e-7,0.00000133905,0.0000937111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5245366,"threshold_uncertainty_score":0.3107585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03995598741762278,"score_gpt":0.266394109237146,"score_spread":0.2264381218195232,"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."}}