{"id":"W4402438704","doi":"10.11159/mmme24.001","title":"Assessing the Stability of Large-scale Open Pit Mines","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open-pit mining; Scale (ratio); Stability (learning theory); Mining engineering; Geology; Environmental science; Computer science; Geography; Cartography; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008673143,0.0004401661,0.0005802177,0.001464222,0.0006494927,0.001284875,0.0007684884,0.001302226,0.0007406478],"category_scores_gemma":[0.003661365,0.000368986,0.0003784169,0.00091428,0.0005702469,0.00122271,0.001010767,0.0004283052,0.0002566541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005458596,"about_ca_system_score_gemma":0.0006278753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00736311,"about_ca_topic_score_gemma":0.01401884,"domain_scores_codex":[0.9994444,0.00009030242,0.0000406376,0.000122666,0.0002407975,0.00006118786],"domain_scores_gemma":[0.9984202,0.0007093351,0.0002047207,0.00009944185,0.0003966007,0.0001697207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007986854,0.0003969719,0.4453805,0.00009156994,0.0002762945,0.0007169006,0.0002939962,0.4803895,0.02911453,0.0005588059,0.0005089648,0.04147341],"study_design_scores_gemma":[0.00004319323,0.0002677851,0.2454562,0.00001079456,0.00004891065,0.0001249184,0.000515223,0.7484134,0.003759422,0.0009413307,0.0003907987,0.00002796989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967366,0.00002791552,0.002525616,0.00002296211,0.000004533675,0.0000129415,0.0001455755,0.00003155454,0.0004922983],"genre_scores_gemma":[0.9988819,0.00001245759,0.0008018941,0.000002421952,0.000002462756,0.000004324114,0.0001533135,0.000004113934,0.0001370938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00736311,"threshold_uncertainty_score":0.01464051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103496644573366,"score_gpt":0.2378068369832107,"score_spread":0.2274571725258741,"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."}}