{"id":"W1989250039","doi":"10.1016/s0169-1368(99)00027-x","title":"Effective use and interpretation of lithogeochemical data in regional mineral exploration programs: application of Geographic Information Systems (GIS) technology","year":2000,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Felsic; Mafic; Archean; Geochemistry; Geology; Greenstone belt; Mineral exploration; Volcanic rock; Mineralization (soil science); Volcano; Carbonate; Mineralogy; Soil science; Chemistry; Soil water","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":[0.004059688,0.0007314953,0.000882857,0.005634455,0.000764977,0.004195645,0.001095982,0.0007301582,0.001874087],"category_scores_gemma":[0.01335911,0.0004239338,0.0004492135,0.006518072,0.0008694747,0.004327736,0.001692805,0.0007018526,0.0006119043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000978639,"about_ca_system_score_gemma":0.003180772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00981738,"about_ca_topic_score_gemma":0.01739018,"domain_scores_codex":[0.9968925,0.001357413,0.0003327173,0.0002838336,0.001054739,0.00007883661],"domain_scores_gemma":[0.9924389,0.004601629,0.0006826128,0.0005928708,0.001551657,0.0001323731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001526152,0.0002375923,0.05541909,0.001010785,0.0001687527,0.0003335916,0.001775991,0.02275445,0.01344122,0.008791986,0.008307693,0.8876062],"study_design_scores_gemma":[0.0003089153,0.0007196007,0.1905714,0.001042328,0.0009338351,0.001606702,0.01991923,0.4213859,0.07620509,0.1044349,0.182401,0.0004710924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1337677,0.004703969,0.8295493,0.003742869,0.0002150601,0.0006447434,0.00336775,0.003725373,0.02028317],"genre_scores_gemma":[0.3920923,0.005520731,0.5976748,0.0003408864,0.0001217802,0.0002745494,0.001816382,0.0003049625,0.001853589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00981738,"threshold_uncertainty_score":0.02146995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516202671195857,"score_gpt":0.2565899440495075,"score_spread":0.2314279173375489,"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."}}