{"id":"W2809182244","doi":"","title":"Maximizing Mobility: Transportation Efficiency And Infrastructure Development In The Urban Boundary Rural Area Of Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Transport infrastructure; Boundary (topology); Geography; Business; Environmental planning; Economic growth; Regional science; Economics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003555064,0.000267,0.000304467,0.0006987729,0.005353692,0.00261034,0.001056802,0.000513356,0.003687277],"category_scores_gemma":[0.001514694,0.0002210272,0.0002200318,0.001843037,0.001017575,0.0005771214,0.001100736,0.0006535346,0.0002151573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03465794,"about_ca_system_score_gemma":0.04879389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995574,"about_ca_topic_score_gemma":0.9991042,"domain_scores_codex":[0.9993272,0.0001101297,0.00001120049,0.00005668302,0.00008185217,0.0004130202],"domain_scores_gemma":[0.9992056,0.00007537796,0.0000454301,0.00001358557,0.0003164627,0.0003435819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000629849,0.0007426164,0.7771685,0.0003067005,0.0001532049,0.001365775,0.01347472,0.01002057,0.002236768,0.03084573,0.02418985,0.1388656],"study_design_scores_gemma":[0.00007633664,0.0001343969,0.9125573,0.0002283375,0.0000864243,0.0002066289,0.05093943,0.007833558,0.0005578305,0.003069297,0.02425271,0.00005773799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98066,0.0006193807,0.000291291,0.001794449,0.00001418144,0.00005054237,0.0004427502,0.00001269847,0.01611478],"genre_scores_gemma":[0.9895486,0.0004585034,0.000390693,0.00007759562,0.000004670016,0.00001376118,0.0001355314,0.000006600673,0.009364014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03465794,"threshold_uncertainty_score":0.2514622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008855409381864252,"score_gpt":0.234587756554091,"score_spread":0.2257323471722268,"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."}}