{"id":"W586867179","doi":"","title":"TRANSIT-SUPPORTIVE PARKING POLICIES: NORTH AMERICAN EXPERIENCE MODEL PRACTICES FOR MUNICIPALITIES","year":2000,"lang":"en","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Transit (satellite); Transport engineering; Policy analysis; Public transport; Marketing; Public administration; Engineering; Political science","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":[0.006489772,0.0003679701,0.0004427453,0.0009092487,0.01609263,0.005191686,0.0014219,0.001313421,0.003572445],"category_scores_gemma":[0.008287071,0.0004795796,0.0003535852,0.003142654,0.004629307,0.004289173,0.006396701,0.00224195,0.0003146923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01680915,"about_ca_system_score_gemma":0.02178308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3521976,"about_ca_topic_score_gemma":0.6251631,"domain_scores_codex":[0.9945626,0.003199374,0.0002041581,0.0003063029,0.0005792117,0.001148407],"domain_scores_gemma":[0.9952555,0.001427992,0.0003706235,0.0003613592,0.001132579,0.00145192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003950092,0.0001907294,0.01009424,0.00008337183,0.000005351786,0.0007169432,0.9682562,0.0001967898,0.0006373707,0.005385224,0.002552234,0.01184196],"study_design_scores_gemma":[0.000005385446,0.00008152283,0.004607697,0.00005427847,0.0000068679,0.0001633265,0.9594039,0.0002371521,0.0001693444,0.0004131095,0.03483595,0.00002142845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9817463,0.0003601387,0.000871957,0.003725945,0.00002864093,0.00006181251,0.00005024953,0.00003205375,0.01312285],"genre_scores_gemma":[0.9939261,0.0008252026,0.0008527873,0.000316067,0.000005990122,0.00007541629,0.00004429513,0.00002038858,0.00393368],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3521976,"threshold_uncertainty_score":0.7002951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.068904223607613,"score_gpt":0.349197309975842,"score_spread":0.280293086368229,"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."}}