{"id":"W3008251541","doi":"10.37367/jpi.v2i2.54","title":"Factors That Influence the Selection of the Solo Soemarmo Airport Train Mode","year":2018,"lang":"en","type":"article","venue":"Jurnal Perkeretaapian Indonesia (Indonesian Railway Journal)","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Train; Transport engineering; Schedule; Sample (material); Operations research; Mode (computer interface); Government (linguistics); Service (business); Passenger train; Computer science; Engineering; Operations management; Business; Marketing; Geography","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":[0.0009285799,0.0001408173,0.00009922878,0.0004066454,0.0004449961,0.001144571,0.0001791658,0.0002470717,0.007263273],"category_scores_gemma":[0.005800833,0.0000885901,0.0001953,0.0005744455,0.000321837,0.0004070039,0.0002877171,0.0003774119,0.001043134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384044,"about_ca_system_score_gemma":0.0005316379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007163972,"about_ca_topic_score_gemma":0.01322545,"domain_scores_codex":[0.9994554,0.0002084325,0.00004111453,0.00005703273,0.0001276853,0.0001103724],"domain_scores_gemma":[0.9963112,0.001828795,0.0008019656,0.0001170902,0.0004130231,0.000527803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001589692,0.0002221638,0.9788218,0.00004123868,0.00002412944,0.0002921093,0.002319483,0.0005832218,0.001652356,0.0007542307,0.0006864929,0.01444396],"study_design_scores_gemma":[0.000005048742,0.00009835875,0.9862027,0.00002942111,0.00001680359,0.0001677601,0.008868572,0.001108022,0.0004133758,0.0002080036,0.002868818,0.00001323325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942114,0.00004395604,0.0002764103,0.0001233183,0.000008675233,0.00001681786,0.00006123406,0.000002818185,0.005255323],"genre_scores_gemma":[0.9980146,0.00005393499,0.0002036112,0.00001571303,0.000004044055,0.00000831212,0.00004707906,0.000003206564,0.001649582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007263273,"threshold_uncertainty_score":0.02429807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392362886723416,"score_gpt":0.2162377621291387,"score_spread":0.2023141332619046,"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."}}