{"id":"W4416337245","doi":"10.3390/app152212222","title":"A Hybrid AI Framework for Integrated Predictive Maintenance and Mineral Quality Assessment in Mining","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Downtime; Artificial neural network; Inference; Quality (philosophy); Fault detection and isolation; Convolutional neural network","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":[0.0004119239,0.000575038,0.0004529434,0.0004162228,0.0002611863,0.0008186427,0.001299801,0.0006298813,0.001320591],"category_scores_gemma":[0.0008742277,0.000246362,0.0005284353,0.0003658607,0.0004135039,0.0009060058,0.0008031306,0.0008606932,0.0003169348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000662335,"about_ca_system_score_gemma":0.001034967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109832,"about_ca_topic_score_gemma":0.01320964,"domain_scores_codex":[0.9998115,0.0000224477,0.00001100551,0.00006991906,0.00005976572,0.00002549505],"domain_scores_gemma":[0.9997702,0.00009080016,0.00002868298,0.00002507258,0.00006714372,0.0000181421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009145159,0.0001135378,0.001685097,0.00008964873,0.00009166403,0.000150342,0.00008649285,0.8362719,0.00740259,0.01270332,0.001921498,0.1393925],"study_design_scores_gemma":[0.000002346602,0.00001489484,0.000129443,0.00000307546,0.000006280834,0.00001316825,0.000003650364,0.995704,0.0005343767,0.003064635,0.0005209188,0.000003258072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01465993,0.0004910217,0.9806388,0.0002181817,0.00005250482,0.0000355961,0.0001264836,0.001437839,0.002339553],"genre_scores_gemma":[0.7808593,0.0004199798,0.2142852,0.0001947985,0.00008438955,0.0001121693,0.0003595338,0.00008538479,0.003599184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01109832,"threshold_uncertainty_score":0.02206743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208726681673079,"score_gpt":0.3203384684412867,"score_spread":0.2982512016245559,"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."}}