{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129728,0.0005474083,0.0005614844,0.002182512,0.0004098788,0.002555678,0.001057349,0.0009562665,0.001157618],"category_scores_gemma":[0.01799398,0.0005125143,0.0007347552,0.00228899,0.0004846876,0.002971964,0.001617561,0.0009144342,0.0008197551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900987,"about_ca_system_score_gemma":0.0007719042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04568737,"about_ca_topic_score_gemma":0.04355003,"domain_scores_codex":[0.9989144,0.0004346043,0.00007966879,0.0003265735,0.0001410072,0.0001038299],"domain_scores_gemma":[0.9939578,0.002965723,0.0009029724,0.001176628,0.0008195944,0.0001772977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000149562,0.0001507598,0.7240582,0.0002004327,0.0002057828,0.0001129545,0.001272203,0.1286753,0.00143071,0.006190784,0.002129798,0.1354236],"study_design_scores_gemma":[0.00001228851,0.0001040595,0.2656629,0.0001280996,0.00009154576,0.0002132762,0.00327967,0.7135232,0.001654317,0.009561179,0.005691198,0.00007818557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368044,0.0006047488,0.1553572,0.000472312,0.00002570335,0.0000548221,0.00203381,0.0003007562,0.004346155],"genre_scores_gemma":[0.9556632,0.0003208169,0.04034154,0.00004328004,0.0000123863,0.0000398203,0.002143877,0.00005526903,0.001379763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04568737,"threshold_uncertainty_score":0.0908429,"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."}}