{"id":"W2015742643","doi":"10.1016/j.jtrangeo.2011.05.007","title":"Policy frames of Park-and-Ride in Europe","year":2011,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Quarter (Canadian coin); Urban policy; Traffic congestion; Diversity (politics); Regional science; Variance (accounting); Business; Public economics; Urban planning; Political science; Economics; Geography; Transport engineering; 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":[0.002403742,0.0003208677,0.0008524598,0.001336005,0.002217621,0.00883603,0.001212322,0.004933086,0.007765355],"category_scores_gemma":[0.004533389,0.0004547126,0.0007481374,0.00135219,0.003261122,0.004140603,0.002554933,0.002087144,0.0002240661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0076032,"about_ca_system_score_gemma":0.004354887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05508722,"about_ca_topic_score_gemma":0.04447789,"domain_scores_codex":[0.9977275,0.0008235089,0.00007966434,0.0003230337,0.0001615242,0.0008847888],"domain_scores_gemma":[0.9989344,0.0004220963,0.0001729437,0.00008020311,0.0001599465,0.0002304638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001365429,0.00005610215,0.001454979,0.00002367472,0.00003193755,0.0001266898,0.0004393498,0.01014827,0.0001049326,0.9822208,0.001808823,0.003447881],"study_design_scores_gemma":[0.0002503391,0.0001987681,0.0297034,0.0002788707,0.0001794684,0.0001855794,0.007226142,0.02249092,0.0006895841,0.8558373,0.08285858,0.00010096],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7028789,0.004203402,0.01307644,0.02331911,0.0002913334,0.00008324355,0.0006904612,0.00005005363,0.2554071],"genre_scores_gemma":[0.9943643,0.0003672896,0.0003830899,0.0003896216,0.00003484343,0.00001585056,0.00004346268,0.000007263356,0.004394448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05508722,"threshold_uncertainty_score":0.1095331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822857583782267,"score_gpt":0.2671150701033593,"score_spread":0.2488864942655367,"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."}}