{"id":"W2558312404","doi":"10.3390/geosciences6040052","title":"Mineral Mapping for Exploration: An Australian Journey of Evolving Spectral Sensing Technologies and Industry Collaboration","year":2016,"lang":"en","type":"article","venue":"Geosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Minerals and Energy Research Institute of Western Australia; University of Alberta; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Mineral exploration; Remote sensing; Earth science; Geology; Astrobiology; Data science; Computer science; Geochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004775914,0.00009147836,0.0001192165,0.00009844617,0.0002181512,0.0001640769,0.0003570187,0.0001236258,0.000006369491],"category_scores_gemma":[0.0004082136,0.00006401506,0.0000181891,0.0004724347,0.0002388294,0.00161998,0.00009603513,0.00007011429,4.029799e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001556204,"about_ca_system_score_gemma":0.00008215741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001472054,"about_ca_topic_score_gemma":0.00002612963,"domain_scores_codex":[0.9990503,0.0000247362,0.000204399,0.0003219321,0.000153567,0.0002450387],"domain_scores_gemma":[0.9993274,0.00006957268,0.0001537005,0.0002103652,0.0001938929,0.00004503695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001073447,0.00005300713,0.01357546,0.00009648999,0.00001445698,0.00001016196,0.005039115,0.0001904085,0.7457658,0.02307672,0.002745655,0.209422],"study_design_scores_gemma":[0.001451972,0.000972175,0.02919812,0.0006651143,0.00001884069,0.0001782984,0.05550952,0.1113115,0.5905502,0.1927692,0.01618569,0.001189297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407139,0.00007015486,0.2266834,0.03112722,0.0003108638,0.0001938721,0.000005822164,0.0001946762,0.0007001065],"genre_scores_gemma":[0.9329828,0.000008094852,0.06640412,0.00001988584,0.00005060997,0.000004269317,7.376132e-7,9.537092e-7,0.0005285143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082327,"threshold_uncertainty_score":0.2610458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881964798967706,"score_gpt":0.2734928936241276,"score_spread":0.2246732456344505,"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."}}