{"id":"W4413391443","doi":"10.1115/omae2025-157164","title":"Quantitative Characterization of Mineral Properties and Microstructures in Deep Coal-Rock","year":2025,"lang":"en","type":"article","venue":"","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Characterization (materials science); Geology; Coal; Mineral; Mineralogy; Mining engineering; Materials science; Metallurgy; Chemistry; Nanotechnology","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":[0.0003154525,0.0001914954,0.0001996743,0.0008524928,0.0001839362,0.0002968951,0.0002226912,0.0002419051,0.0006831718],"category_scores_gemma":[0.0003138022,0.0001577234,0.000108281,0.0003032268,0.0002555346,0.0003138043,0.0002124028,0.0001806072,0.000163499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402871,"about_ca_system_score_gemma":0.0002032075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231944,"about_ca_topic_score_gemma":0.003028026,"domain_scores_codex":[0.9997804,0.00001698297,0.00001142847,0.00007208038,0.0001019683,0.00001710961],"domain_scores_gemma":[0.9997432,0.00004104925,0.00006088915,0.0000217369,0.0001101177,0.00002296571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000035717,0.00001564819,0.006227819,0.00005761252,0.000006577307,0.00003262467,0.00004472223,0.0001638879,0.989432,0.00005587054,0.00000981679,0.003917687],"study_design_scores_gemma":[0.00001092939,0.0003733291,0.1766517,0.00001694303,0.00003077915,0.0004610561,0.0002828544,0.007222486,0.8122355,0.0001940805,0.002502179,0.00001821282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836113,0.000384053,0.01451688,0.00001286882,0.00000566224,0.00005763533,0.0003900077,0.00006625846,0.000955232],"genre_scores_gemma":[0.9823452,0.0002009039,0.01606906,0.00002096266,0.000004325213,0.0000425077,0.0002462123,0.0000256918,0.001045108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001231944,"threshold_uncertainty_score":0.002449572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009200802650330835,"score_gpt":0.1915196750078876,"score_spread":0.1823188723575567,"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."}}