{"id":"W4399516745","doi":"10.33366/rekabuana.v7i2.4439","title":"Optimasi Produktivitas Alat Berat dengan Metode Simpleks LINGO (Heavy-Duty Productivity Optimization Using LINGO Simplex Method)","year":2022,"lang":"en","type":"article","venue":"Reka Buana Jurnal Ilmiah Teknik Sipil dan Teknik Kimia","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Heavy duty; Productivity; Mathematics; Engineering; Automotive engineering; Economics","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003866863,0.001155687,0.00120828,0.001853235,0.003037918,0.001538219,0.00152668,0.0002854724,0.000751453],"category_scores_gemma":[0.0009339034,0.001241377,0.0005404659,0.003730616,0.000193607,0.003722217,0.002124416,0.001520422,0.00004960806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006975344,"about_ca_system_score_gemma":0.0002484217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008268206,"about_ca_topic_score_gemma":0.0001145552,"domain_scores_codex":[0.9926915,0.0004493897,0.001599202,0.002015828,0.001746154,0.001497944],"domain_scores_gemma":[0.9955361,0.000223898,0.001736489,0.001528127,0.0008211462,0.0001542208],"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":[0.0006345137,0.00113834,0.005151041,0.0007938591,0.0005025233,0.0001477372,0.0003911245,0.9246806,0.00624156,0.007899363,0.01877202,0.03364731],"study_design_scores_gemma":[0.001798691,0.0001687152,0.0007402656,0.0001305287,0.0009583483,0.00007677126,0.0007238601,0.7506686,0.007329589,0.001769517,0.2332489,0.002386146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.25225,0.001808466,0.67933,0.008189252,0.0044051,0.01122785,0.0001886575,0.007764332,0.03483634],"genre_scores_gemma":[0.7766721,0.000134367,0.2072271,0.00370882,0.004837807,0.0005775545,0.001165677,0.0007016052,0.004975035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.524422,"threshold_uncertainty_score":0.9994983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147885218614817,"score_gpt":0.2775710114560859,"score_spread":0.2460921592699377,"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."}}