{"id":"W4313430785","doi":"10.3390/rs14246386","title":"Ore-Waste Discrimination Using Supervised and Unsupervised Classification of Hyperspectral Images","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hyperspectral imaging; Artificial intelligence; Mining engineering; Pattern recognition (psychology); Environmental science; Geology; Computer science; Remote sensing","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":[0.0002848219,0.00009290897,0.0001291093,0.00007885024,0.0002903012,0.00004266945,0.0001722373,0.00002814821,0.000006507924],"category_scores_gemma":[0.0000642114,0.00009892629,0.00003789023,0.0002940631,0.00005613688,0.0001582118,0.0002246471,0.0001195687,3.393164e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000521613,"about_ca_system_score_gemma":0.00003924881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005558676,"about_ca_topic_score_gemma":0.000001113783,"domain_scores_codex":[0.9990488,0.0001081394,0.0001829945,0.000286154,0.0002040341,0.0001698414],"domain_scores_gemma":[0.999438,0.00005023587,0.00009837707,0.0002835777,0.00009189526,0.00003792849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006309827,0.00001160863,0.00003862842,0.00004225151,0.000007168375,0.00001025198,0.0014859,0.001829757,0.9345272,0.0008803933,0.00001619611,0.0611443],"study_design_scores_gemma":[0.0001955352,0.00002456894,0.0004862045,0.0000202473,0.0000101083,0.0001060131,0.001737054,0.9399611,0.0549395,0.002308253,0.00009939286,0.0001120446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360057,0.00009563848,0.1598682,0.001957781,0.0001009552,0.00008786427,0.000001564455,0.00005155328,0.001830743],"genre_scores_gemma":[0.9253343,0.000006060282,0.07448307,0.0000400475,0.00002970343,1.997723e-8,0.000005373072,0.000003018511,0.00009838297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9381313,"threshold_uncertainty_score":0.4034097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530020044813541,"score_gpt":0.2462632425411238,"score_spread":0.2109630420929884,"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."}}