{"id":"W4416933128","doi":"10.1007/s11081-025-10031-y","title":"Scheduling of Drilling Machines in Open-Pit Mines: Stochastic and Non-Probabilistic CP Approaches","year":2025,"lang":"en","type":"article","venue":"Optimization and Engineering","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scheduling (production processes); Drill; Constraint programming; Drilling; Constraint (computer-aided design); Stochastic programming; Representation (politics); Job shop scheduling","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006096155,0.001097947,0.002896826,0.001403968,0.0008958657,0.002451418,0.004253367,0.002352592,0.00403639],"category_scores_gemma":[0.01634928,0.001987215,0.002238421,0.002490687,0.001370153,0.00356034,0.001672797,0.002148645,0.0002786076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00223638,"about_ca_system_score_gemma":0.003666517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01822568,"about_ca_topic_score_gemma":0.01578875,"domain_scores_codex":[0.9976436,0.001091418,0.0001379753,0.0004038126,0.0003820757,0.0003410059],"domain_scores_gemma":[0.9830193,0.01395692,0.001163318,0.0004382551,0.0008198207,0.0006024054],"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":[0.0000628847,0.00003389028,0.0002486004,0.00008027879,0.00003098591,0.0000207327,0.00002089978,0.9852723,0.0001118962,0.008693239,0.0003723114,0.005051979],"study_design_scores_gemma":[0.000005701198,0.00001096903,0.00008650767,0.000003486515,0.000005970059,0.000003669908,0.000007388058,0.9939839,0.00003251514,0.005757394,0.0001000063,0.000002608295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04393866,0.0008329902,0.9499535,0.0008536846,0.0001403499,0.0001349623,0.0003939922,0.0001917553,0.003560172],"genre_scores_gemma":[0.8154035,0.001196364,0.1765474,0.000228725,0.0003816494,0.0003216781,0.0006562675,0.0002523636,0.005012124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01822568,"threshold_uncertainty_score":0.03623915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485299155756735,"score_gpt":0.2066839415045628,"score_spread":0.1918309499469955,"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."}}