{"id":"W1598785054","doi":"","title":"Access to Destinations: How Close Is Close Enough? Estimating Accurate Distance Decay Functions for Multiple Modes and Different Purposes","year":2008,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Destinations; Distance decay; Mile; Transport engineering; Urban sprawl; Quarter (Canadian coin); Travel behavior; Travel survey; Last mile (transportation); Business; Geography; Land use; Marketing; Computer science; Tourism; Engineering; Economic geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001638164,0.000258503,0.0004868892,0.0002283435,0.001677023,0.00008993444,0.0007930383,0.0001483646,0.00006831962],"category_scores_gemma":[0.0002600615,0.0003342992,0.0002286569,0.0005431583,0.001250801,0.00317773,0.0002333724,0.0001191816,0.000004236353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146892,"about_ca_system_score_gemma":0.0002339701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001583663,"about_ca_topic_score_gemma":0.0143815,"domain_scores_codex":[0.9983474,0.00006690185,0.0002035259,0.0005925985,0.0003783877,0.0004111629],"domain_scores_gemma":[0.9977269,0.0006373855,0.000347977,0.0003427513,0.0006449997,0.0002999729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00118793,0.001061136,0.9394211,0.0005005124,0.0002357111,0.0000948717,0.0304921,0.00009396091,0.0005857805,0.003873784,0.009328537,0.01312458],"study_design_scores_gemma":[0.008063332,0.0007423737,0.7006093,0.000823741,0.0007071906,0.00001339248,0.1154465,0.006208552,0.001112506,0.002517691,0.1615343,0.002221146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655861,0.0001709903,0.02620858,0.004146901,0.00008262882,0.0008136908,0.001264182,0.00008487618,0.001642108],"genre_scores_gemma":[0.9900384,0.0001600748,0.006026329,0.00003187539,0.00003179867,6.817525e-7,0.00007861413,0.00001404545,0.003618205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2388118,"threshold_uncertainty_score":0.9999109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385843078152454,"score_gpt":0.2529502151488395,"score_spread":0.2090917843673149,"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."}}