{"id":"W2049554496","doi":"10.3141/2156-18","title":"Disaggregated Empirical Analysis of Determinants of Urban Travel Greenhouse Gas Emissions","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval","funders":"Ministère des Transports","keywords":"Greenhouse gas; Residence; Work (physics); Environmental science; Land use; Natural resource economics; Agricultural economics; Geography; Economics; Demographic economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001464754,0.0003480721,0.0006420742,0.001098645,0.0002381731,0.0008701153,0.0004808344,0.000373534,0.003518727],"category_scores_gemma":[0.004951093,0.0003512772,0.001053713,0.002009332,0.0003612669,0.000663851,0.001091197,0.0006093233,0.0002936838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262799,"about_ca_system_score_gemma":0.0007571083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08035957,"about_ca_topic_score_gemma":0.06696883,"domain_scores_codex":[0.9989846,0.0005239301,0.00004840891,0.0001601154,0.0001509894,0.0001319326],"domain_scores_gemma":[0.9964101,0.001923876,0.0005235942,0.0004205997,0.0005308459,0.0001910863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001660445,0.0001472824,0.7954695,0.0001346746,0.001479797,0.0004900906,0.0004877531,0.1775835,0.0009113697,0.006868,0.001070382,0.01519161],"study_design_scores_gemma":[0.00001930608,0.0001432388,0.7753093,0.00003113584,0.0002093397,0.0001232234,0.0006980029,0.2172768,0.0002675958,0.003964838,0.001923221,0.00003397045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871122,0.0001983851,0.008915849,0.0001251132,0.0000056639,0.00004498761,0.002527505,0.00005155558,0.001018657],"genre_scores_gemma":[0.9963495,0.00009599074,0.001455341,0.00002041939,0.000003754027,0.00001856949,0.001647058,0.000005289843,0.0004040629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08035957,"threshold_uncertainty_score":0.1597837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134356519868901,"score_gpt":0.4499808540870566,"score_spread":0.3365452021001665,"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."}}