{"id":"W4385249650","doi":"10.1109/pcic42668.2022.10181298","title":"Advanced Electric Mining Dredge Designs","year":2022,"lang":"en","type":"article","venue":"","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University; BP (Canada)","funders":"","keywords":"Computer science","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":[0.0007610875,0.000940041,0.0004523982,0.001511428,0.0006199054,0.001911608,0.00158467,0.001393939,0.02793408],"category_scores_gemma":[0.0008157308,0.0006053258,0.000609005,0.0009269914,0.0005425143,0.001726286,0.001123396,0.000925854,0.01291516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008076883,"about_ca_system_score_gemma":0.0005000295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003977006,"about_ca_topic_score_gemma":0.00106668,"domain_scores_codex":[0.9992183,0.00006862936,0.00004520387,0.0001182394,0.0004705821,0.00007898046],"domain_scores_gemma":[0.9995208,0.00003799926,0.00003789532,0.00009688702,0.0002581193,0.00004836049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009087499,0.0002627314,0.003426997,0.002302083,0.00006925823,0.001442268,0.0009956721,0.04577262,0.1696825,0.1837526,0.07312997,0.5182545],"study_design_scores_gemma":[0.00008121111,0.0006543921,0.001604722,0.0001622224,0.00004242129,0.001585811,0.0001670262,0.0138479,0.03896611,0.01059126,0.9322159,0.00008107933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04689034,0.004255242,0.4119237,0.001119124,0.001807902,0.0005511549,0.001707605,0.003179546,0.5285654],"genre_scores_gemma":[0.3270346,0.004006668,0.1599718,0.0004304448,0.0002360897,0.000339925,0.002042885,0.0007629237,0.5051748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02793408,"threshold_uncertainty_score":0.09344882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009822114072350873,"score_gpt":0.1814877776578383,"score_spread":0.1716656635854874,"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."}}