{"id":"W2989314738","doi":"10.1145/3357000.3366139","title":"Relative Reachability Analysis as a Tool for Urban Mobility Planning","year":2019,"lang":"en","type":"article","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Reachability; Computer science; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000936687,0.00005886851,0.0001388097,0.00007279526,0.0002134089,0.000033435,0.00007883691,0.00008056583,0.0006441799],"category_scores_gemma":[0.000289896,0.00005500576,0.0001227927,0.0005095217,0.00005744264,0.000265258,0.000002857071,0.00005595599,0.00002911663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005391813,"about_ca_system_score_gemma":0.00008622253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397794,"about_ca_topic_score_gemma":0.0004592199,"domain_scores_codex":[0.9991559,0.00008633448,0.0001778269,0.000243464,0.0001853505,0.0001510769],"domain_scores_gemma":[0.9992089,0.000381741,0.00006861692,0.0001461617,0.0001470721,0.00004747921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005109802,0.00004899375,0.8801016,0.000007735745,0.0001089171,1.759796e-7,0.04318188,0.01476723,0.000005151952,0.06121405,0.0002835985,0.0002296364],"study_design_scores_gemma":[0.0007742175,0.0001586088,0.9092067,0.00001785918,0.0004982997,6.485605e-8,0.03216151,0.01437199,0.00004410284,0.006256717,0.03609223,0.0004177233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8723341,0.00002410102,0.07364566,0.0003865167,0.0000760701,0.0005457212,0.00001740496,0.0001494323,0.05282105],"genre_scores_gemma":[0.9799656,0.000001569863,0.005874883,0.00006210845,0.00002694864,0.00002512643,0.00007649131,0.000003536084,0.01396378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076315,"threshold_uncertainty_score":0.7053319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952251571788449,"score_gpt":0.3214755868646429,"score_spread":0.3019530711467584,"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."}}