{"id":"W4399698360","doi":"10.1016/j.resourpol.2024.105113","title":"Evaluating the semi-mobile in-pit crusher option through a two-step mathematical model","year":2024,"lang":"en","type":"article","venue":"Resources Policy","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Crusher; Computer science; Business; Operations management; Economics; Mechanical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003330175,0.0001261879,0.0001376038,0.00008420482,0.00004137021,0.0001159195,0.0001750231,0.0000721223,0.00006816658],"category_scores_gemma":[0.0000274278,0.00009740234,0.00006490196,0.0001700576,0.00002775117,0.0001041134,0.00006494247,0.0002131475,0.000120888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493224,"about_ca_system_score_gemma":0.00002146529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008938685,"about_ca_topic_score_gemma":0.000008020895,"domain_scores_codex":[0.9992406,0.00001942998,0.0002433393,0.000151867,0.00009140353,0.0002533017],"domain_scores_gemma":[0.999598,0.00009183871,0.0000159334,0.0002584894,0.000005896792,0.00002984515],"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":[0.000003839805,0.0000104697,0.000006527478,0.0001652021,0.00002211303,0.000002716223,0.008674761,0.9284369,0.00101148,0.04643821,0.00156574,0.01366202],"study_design_scores_gemma":[0.00006943758,0.00002518265,0.000004395928,0.0001227163,0.000008887762,0.00001275663,0.0001277506,0.9705389,0.0001987613,0.01985105,0.008930384,0.0001098387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9134801,0.0008617023,0.0268484,0.0002446081,0.00004612289,0.0002833031,0.0000078826,0.0006868338,0.05754104],"genre_scores_gemma":[0.9876158,0.000119738,0.01090646,0.0001088756,0.0003417988,0.000153444,0.000002169928,0.00005769653,0.0006940508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07413566,"threshold_uncertainty_score":0.3971952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05292155507991813,"score_gpt":0.3676816850767236,"score_spread":0.3147601299968054,"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."}}