{"id":"W3122118443","doi":"","title":"Curbside Parking Time Limits","year":2009,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Value of time; Downtown; Context (archaeology); Parking guidance and information; Duration (music); Transport engineering; Subsidy; Traffic congestion; Argument (complex analysis); Economics; Business; Travel time; Engineering; Geography; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000462874,0.001031938,0.0009877989,0.0006553731,0.00014337,0.004630785,0.00177304,0.0009871169,0.0006343883],"category_scores_gemma":[0.000341004,0.001100728,0.0005164495,0.0006022344,0.00009332434,0.002258398,0.0009754176,0.003165166,0.01968983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270182,"about_ca_system_score_gemma":0.0002252113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002366478,"about_ca_topic_score_gemma":6.457121e-7,"domain_scores_codex":[0.9952542,0.000194108,0.001084605,0.001045583,0.001087042,0.001334509],"domain_scores_gemma":[0.9972813,0.0003175979,0.0001761888,0.001479621,0.00006814107,0.0006772206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003929384,0.000908736,0.1496009,0.007522468,0.002472046,0.002482224,0.0003328278,0.03684083,0.004406238,0.0009354242,0.5774499,0.2166555],"study_design_scores_gemma":[0.0006906291,0.0000888545,0.005747123,0.00275873,0.00006334083,0.00008116877,0.00001185749,0.01468698,0.007243667,0.01316161,0.9526142,0.002851777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5350661,0.006517675,0.000974865,0.0006269537,0.00214837,0.002382025,0.0087409,0.01209601,0.4314471],"genre_scores_gemma":[0.9896865,0.0001390714,0.00105022,0.0001899322,0.001497249,0.0001292957,0.002926503,0.0005924286,0.003788731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4546205,"threshold_uncertainty_score":0.9991443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949664511542971,"score_gpt":0.2284973884703797,"score_spread":0.20900074335495,"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."}}