{"id":"W3134967855","doi":"10.54564/jtsa.v19i1.32","title":"ANALISIS BATAS KECEPATAN KRITIS KELUAR REL DI LENGKUNGAN R60 DENGAN KONDISI TIDAK ADA PELEBARAN DAN PENINGGIAN PADA PROYEK LRT","year":2020,"lang":"id","type":"article","venue":"JURNAL TEKNIK SIPIL-ARSITEKTUR","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001026062,0.001621145,0.001546789,0.001101092,0.001690591,0.003494431,0.002408187,0.0006165054,0.002141454],"category_scores_gemma":[0.0005329878,0.001719814,0.0008633984,0.003340413,0.0003191623,0.004554009,0.001580597,0.001780604,0.001343217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002518506,"about_ca_system_score_gemma":0.0001495262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000639682,"about_ca_topic_score_gemma":0.0002921682,"domain_scores_codex":[0.9919642,0.0002578347,0.001971174,0.002089339,0.001912786,0.001804639],"domain_scores_gemma":[0.9956642,0.0001566492,0.001666539,0.001270876,0.0007997645,0.0004419193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001172756,0.001444682,0.1180393,0.005795511,0.001802609,0.002078865,0.002541133,0.0002971863,0.00409839,0.01124433,0.8277867,0.02369856],"study_design_scores_gemma":[0.003700395,0.0005884502,0.03950473,0.001317863,0.002113127,0.00003418374,0.003281701,0.01080422,0.002069677,0.000314451,0.9324545,0.003816723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5990253,0.01626656,0.01255179,0.09250951,0.00949349,0.01562446,0.001366931,0.015484,0.237678],"genre_scores_gemma":[0.9708578,0.001809697,0.001560772,0.00962719,0.005576979,0.00009994111,0.001698209,0.0005499371,0.008219471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3718325,"threshold_uncertainty_score":0.9996536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898569914261732,"score_gpt":0.2203719495118913,"score_spread":0.201386250369274,"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."}}