{"id":"W2030776194","doi":"10.5194/isprsarchives-xl-4-w1-1-2013","title":"WALKYOURPLACE – EVALUATING NEIGHBOURHOOD ACCESSIBILITY AT STREET LEVEL","year":2013,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Pedestrian; Transport engineering; Popularity; Recreation; Computer science; Geography; Business; Built environment; Civil engineering; Engineering; Psychology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006966064,0.0004326667,0.0004997679,0.002978466,0.0002247446,0.0009870413,0.0003550909,0.0003915096,0.006885555],"category_scores_gemma":[0.003204169,0.0001630561,0.0004719259,0.001724773,0.0001616252,0.0009581863,0.0009638462,0.0001906326,0.001464754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695254,"about_ca_system_score_gemma":0.0002322902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004352452,"about_ca_topic_score_gemma":0.00998053,"domain_scores_codex":[0.9992889,0.0002014307,0.00007782453,0.0001055542,0.0002737865,0.00005257361],"domain_scores_gemma":[0.9982294,0.000648549,0.000234996,0.0001351843,0.0005281881,0.0002236242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001874953,0.0008129505,0.706026,0.0009936853,0.0005297841,0.0002675919,0.001280012,0.01275999,0.006475728,0.001088309,0.008585753,0.2593053],"study_design_scores_gemma":[0.00007958305,0.001462126,0.9045936,0.0001053865,0.0001630694,0.0003427265,0.001657339,0.07594766,0.005857432,0.0009588884,0.008723284,0.000108848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676825,0.000203694,0.01179416,0.00003137544,0.00002600213,0.0003600816,0.01032658,0.001639603,0.007936076],"genre_scores_gemma":[0.9677453,0.00009799925,0.02028825,0.00001139565,0.000007575636,0.0004023473,0.008385478,0.00006519204,0.002996315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006885555,"threshold_uncertainty_score":0.02303451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0389905968768596,"score_gpt":0.3098149489759762,"score_spread":0.2708243520991166,"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."}}