{"id":"W2034262362","doi":"10.1002/atr.5670380106","title":"Walking infrastructure design assessment by continuous space dynamic assignment modeling","year":2004,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Space (punctuation); Heuristic; Set (abstract data type); Countable set; Sequence (biology); Traffic flow (computer networking); Flow network; Flow (mathematics); Mathematical optimization; Simulation; Mathematics; Artificial intelligence; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000502842,0.0001235507,0.0002061337,0.0001108763,0.0002551881,0.00004850166,0.0001206332,0.00009498219,0.0000309821],"category_scores_gemma":[0.00002645241,0.0001218218,0.00008225699,0.000220048,0.00003933754,0.0007232471,4.594569e-7,0.0002328303,6.24176e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003062002,"about_ca_system_score_gemma":0.0003282496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004685671,"about_ca_topic_score_gemma":0.0001463661,"domain_scores_codex":[0.9984589,0.00007265696,0.0005287966,0.0001363871,0.0005993251,0.0002039879],"domain_scores_gemma":[0.9989829,0.00005084877,0.000495602,0.00005925104,0.0002953584,0.0001160532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006470627,0.00004404075,0.000574813,0.000007588332,0.00002344274,0.00001479512,0.01236189,0.9792243,0.003082893,0.00111148,0.00003460483,0.003455427],"study_design_scores_gemma":[0.04843608,0.005022422,0.3613128,0.004511529,0.00236789,0.00006794568,0.3060879,0.09350103,0.009598628,0.1416427,0.02210739,0.005343643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2360608,0.0001748855,0.7627054,0.0004510248,0.0003219363,0.0001558763,0.000009247228,0.000030838,0.00008996252],"genre_scores_gemma":[0.8481863,0.0003732703,0.151251,0.0000452243,0.00004471609,0.000003425483,0.000052509,0.00001366132,0.00002992774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8857233,"threshold_uncertainty_score":0.4967747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008116915105766412,"score_gpt":0.2862230495861196,"score_spread":0.2781061344803532,"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."}}