{"id":"W4210774675","doi":"10.1007/978-3-030-92529-1_66","title":"Statistical Model for Forecasting the Cell Replacement Rate in an Aluminum Smelter","year":2022,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Life expectancy; Work (physics); Computer science; Operations research; Industrial engineering; Econometrics; Simulation; Engineering; Mechanical engineering; Mathematics; Population","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":[0.001412077,0.0007293966,0.001438422,0.0007146363,0.0005031212,0.0008089912,0.001595088,0.001532626,0.002760283],"category_scores_gemma":[0.00222465,0.0005320921,0.0009282323,0.0009116834,0.0004965187,0.0007957906,0.0004072151,0.001516702,0.0006454173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164117,"about_ca_system_score_gemma":0.0007954237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0459311,"about_ca_topic_score_gemma":0.02594239,"domain_scores_codex":[0.9997323,0.00006586648,0.00001741212,0.00008107558,0.00004491066,0.00005835012],"domain_scores_gemma":[0.9981128,0.001375818,0.0001551555,0.00006463632,0.0002487513,0.0000427732],"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":[0.00007330753,0.00003547789,0.002028216,0.00001658865,0.00002223771,0.00002857835,0.00000916814,0.9897506,0.0004100942,0.001061234,0.0005585768,0.006005911],"study_design_scores_gemma":[0.000001244573,0.000005507276,0.0002761442,6.009069e-7,0.000002067704,0.000002117887,0.000001652965,0.9994542,0.0000517211,0.000185145,0.00001772318,0.000001876437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6455698,0.0012402,0.3433318,0.001242817,0.000218593,0.00007224813,0.00293036,0.001556689,0.003837656],"genre_scores_gemma":[0.9837287,0.0003013641,0.008946433,0.000071051,0.00006917065,0.00006511903,0.001222052,0.00005189979,0.005544159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0459311,"threshold_uncertainty_score":0.09132749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04608309888386598,"score_gpt":0.2470189798522862,"score_spread":0.2009358809684202,"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."}}