{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008849778,0.0009601988,0.0009303759,0.001768217,0.0009860758,0.001864448,0.0005648653,0.0009734181,0.01379269],"category_scores_gemma":[0.001278814,0.0005444441,0.001923477,0.001031852,0.0006474429,0.001096218,0.0009037137,0.001915696,0.003614515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007298503,"about_ca_system_score_gemma":0.001244584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008469171,"about_ca_topic_score_gemma":0.01186242,"domain_scores_codex":[0.9985879,0.0001883589,0.0001150319,0.0002250037,0.000595274,0.0002884245],"domain_scores_gemma":[0.9985933,0.0003774049,0.0002544371,0.00008278478,0.0005491277,0.0001429948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005218314,0.001189883,0.2443131,0.005182502,0.0006298728,0.005684821,0.002975794,0.002310611,0.5691983,0.001393095,0.01146418,0.1504395],"study_design_scores_gemma":[0.0001592132,0.00859326,0.4769343,0.001746413,0.00134282,0.01523402,0.01757463,0.004687465,0.3400033,0.001882559,0.1315108,0.0003311324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223632,0.02676761,0.01059257,0.001322145,0.0006988245,0.0006801302,0.007282714,0.0004861926,0.0298066],"genre_scores_gemma":[0.9401434,0.01145682,0.008614772,0.0009179047,0.0001488454,0.0003914239,0.003590402,0.0002005564,0.03453593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01379269,"threshold_uncertainty_score":0.04614115,"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."}}