{"id":"W4409627386","doi":"10.17268/rev.cyt.2025.01.06","title":"Machine Learning aplicado a la exploración minera usando matriz de confusión","year":2025,"lang":"en","type":"article","venue":"Revista Ciencia y Tecnología","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","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":[0.007102069,0.001824564,0.001223773,0.003578292,0.000809906,0.003275731,0.001308441,0.0008786337,0.002708097],"category_scores_gemma":[0.02503526,0.0005436919,0.0009423771,0.002167537,0.0008660338,0.002346113,0.001616789,0.00162609,0.001521908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007933854,"about_ca_system_score_gemma":0.001428819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004252184,"about_ca_topic_score_gemma":0.005730412,"domain_scores_codex":[0.9974334,0.001068405,0.0002629009,0.0004815369,0.0006240846,0.0001296472],"domain_scores_gemma":[0.9906483,0.006494386,0.000613585,0.0005962113,0.001539354,0.0001080912],"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":[0.0006312359,0.0002511106,0.02033252,0.0005577222,0.0003303605,0.0003104873,0.001269095,0.1464112,0.009799336,0.01595224,0.003542975,0.8006117],"study_design_scores_gemma":[0.00002834437,0.0001602469,0.005588123,0.0001027391,0.00006211992,0.0003282223,0.0003035823,0.9585122,0.01192591,0.01710252,0.005827383,0.00005859445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05907844,0.0005550559,0.9327878,0.0002085944,0.00008602443,0.0001726704,0.0003531098,0.004288645,0.002469644],"genre_scores_gemma":[0.3667919,0.0003717584,0.6284188,0.0000638481,0.00005856936,0.0004283153,0.000549835,0.0003214987,0.002995459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007102069,"threshold_uncertainty_score":0.03755981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007017739681289861,"score_gpt":0.2347902551750458,"score_spread":0.227772515493756,"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."}}