{"id":"W2917370587","doi":"10.1139/tcsme-2018-0177","title":"Optimum cutting depth and spacing of roadheader picks: a numerical simulation using a three-dimensional cracking method","year":2019,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Roadheader; Structural engineering; Finite element method; Cracking; Coal; Drilling; Process (computing); Engineering; Computer science; Mechanical engineering; Materials science; Composite material","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":[0.000358217,0.0002867805,0.0004866588,0.000425569,0.0004056598,0.0005825403,0.0006026751,0.001060579,0.001596932],"category_scores_gemma":[0.0007765682,0.0003156168,0.0005756214,0.0003548424,0.0004226025,0.0003098197,0.0003029396,0.0003612254,0.0001426855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004643584,"about_ca_system_score_gemma":0.0008468347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006874998,"about_ca_topic_score_gemma":0.006440564,"domain_scores_codex":[0.9998955,0.00001858536,0.000006479948,0.00001540404,0.00003810086,0.00002591166],"domain_scores_gemma":[0.9996018,0.0002325001,0.00005972367,0.00002670366,0.00005757653,0.00002183613],"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":[0.00003762908,0.00003191962,0.00134846,0.00004360328,0.000007325887,0.00009345246,0.00005721653,0.9890007,0.005007883,0.0008930432,0.00009558427,0.003383215],"study_design_scores_gemma":[0.000006027746,0.00001594048,0.0002244488,0.000002959414,0.000002922945,0.00001110468,0.0000145568,0.9988,0.0007167528,0.00008083199,0.0001203465,0.000004106428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8515033,0.0002360725,0.1374695,0.0001422587,0.00003392573,0.0001007958,0.0002390747,0.0001983444,0.01007687],"genre_scores_gemma":[0.963604,0.0001033132,0.0351995,0.00001149088,0.000002218235,0.00005584958,0.00006167381,0.00002077573,0.0009414139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006874998,"threshold_uncertainty_score":0.01366997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670453781534653,"score_gpt":0.2410069252259472,"score_spread":0.2243023874106006,"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."}}