{"id":"W1969912805","doi":"10.5539/eer.v1n1p163","title":"Exploring Variation of Maintenance Action and Its Impacts on Emission and Cost in Jakarta City","year":2011,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probit model; Computer science; Multivariate probit model; Environmental science; Econometrics; Environmental economics; Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005612928,0.0002581787,0.0003985537,0.001014668,0.0006938021,0.001621056,0.0006831195,0.0004247228,0.001401729],"category_scores_gemma":[0.001974188,0.0002387463,0.0005346952,0.002122149,0.0005846424,0.0004040042,0.0009372731,0.0005477758,0.0001451637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00250754,"about_ca_system_score_gemma":0.001290506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1398202,"about_ca_topic_score_gemma":0.152296,"domain_scores_codex":[0.9991156,0.0002519268,0.00006303464,0.0001701567,0.0002040387,0.0001951785],"domain_scores_gemma":[0.998035,0.0008916,0.0004408402,0.0001479198,0.000318089,0.0001665014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001517072,0.000258884,0.9770809,0.00005060643,0.0002361758,0.0007580995,0.001017777,0.01104363,0.0008226045,0.0006674235,0.0003826843,0.007529654],"study_design_scores_gemma":[0.000002346688,0.00006746825,0.9901146,0.00001273518,0.00006550719,0.00006134243,0.001790369,0.007155698,0.0002579147,0.000102359,0.0003559467,0.00001366987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990239,0.00009088931,0.00009086859,0.00004223783,0.000002957549,0.000005958538,0.0002410543,0.000003233027,0.0004989246],"genre_scores_gemma":[0.999512,0.00005745343,0.00005573997,0.000004485412,0.000001525037,0.000004015962,0.0001541464,0.000001487904,0.0002091333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1398202,"threshold_uncertainty_score":0.2780128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2025157113315821,"score_gpt":0.3118636829378791,"score_spread":0.109347971606297,"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."}}