{"id":"W2337831897","doi":"","title":"Understanding Complete Streets: How do Professionals Define a Complete Street Project?","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Transportation planning; Process (computing); Land-use planning; Ambiguity; Land use; Environmental planning; Geography; Computer science; Engineering; Civil 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":[0.02938062,0.0006243665,0.0005369569,0.002566778,0.0100506,0.01140617,0.001999862,0.004003159,0.003893067],"category_scores_gemma":[0.04449113,0.0007742576,0.0003528023,0.002549398,0.01781437,0.02025394,0.01112855,0.003927339,0.0008461641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00983187,"about_ca_system_score_gemma":0.02526316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05316086,"about_ca_topic_score_gemma":0.06096643,"domain_scores_codex":[0.9788266,0.01314855,0.0008302381,0.001411092,0.00313124,0.002652264],"domain_scores_gemma":[0.9721058,0.01086986,0.002547459,0.001506344,0.006996514,0.005974018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001655389,0.00006961782,0.01615508,0.0002533149,0.000008143911,0.0002851311,0.8941188,0.0002957047,0.0004069431,0.03713999,0.0144191,0.03683168],"study_design_scores_gemma":[0.000003076811,0.00002990018,0.004068117,0.0003302993,0.000003735404,0.0001113358,0.9365018,0.000414922,0.00008863533,0.01284781,0.04557852,0.00002186941],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7732678,0.003091229,0.04721161,0.0751285,0.0005272338,0.0004102419,0.0002218977,0.0001472695,0.09999408],"genre_scores_gemma":[0.9799673,0.001509007,0.01183179,0.002061586,0.00003581828,0.0001805525,0.0001248551,0.00005914968,0.004229983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05316086,"threshold_uncertainty_score":0.1553814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2744961787373265,"score_gpt":0.4323435293860352,"score_spread":0.1578473506487087,"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."}}