{"id":"W2034541019","doi":"10.1016/j.jsams.2012.11.072","title":"Validity of the Microscale Audit of Pedestrian Streetscapes (MAPS)","year":2012,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Traffic and Road Safety","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Built environment; Macro; Urban design; Transport engineering; Walkability; Graffiti; Transit (satellite); Audit; Computer science; Measure (data warehouse); Architectural engineering; Construct validity; Microscale chemistry; Civil engineering; Engineering; Psychology; Data mining; Urban planning; Business; Statistics; Mathematics; Public transport; Psychometrics; Mathematics education","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":[0.006413814,0.0002938017,0.0003428683,0.002039431,0.0004946905,0.001405472,0.0006568275,0.0007557948,0.001862109],"category_scores_gemma":[0.07147764,0.0002704614,0.000650221,0.00152759,0.0007384258,0.001527801,0.002094073,0.0004237781,0.000736768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006115437,"about_ca_system_score_gemma":0.0007660686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006786277,"about_ca_topic_score_gemma":0.009934641,"domain_scores_codex":[0.9907335,0.003129921,0.00122428,0.001054019,0.003479382,0.0003788556],"domain_scores_gemma":[0.938103,0.02507862,0.01241332,0.007905753,0.01556323,0.0009360755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007099435,0.0001045944,0.9702021,0.0001282108,0.0001674882,0.0000562253,0.00113309,0.0006359591,0.001615971,0.0003766773,0.00102683,0.02384288],"study_design_scores_gemma":[0.00002100881,0.0002002097,0.9932806,0.00005794378,0.00004844335,0.000110141,0.001017183,0.002357556,0.001175206,0.0003323469,0.001379111,0.00002035549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871295,0.0001416466,0.003001351,0.00008877096,0.00009433502,0.0001676882,0.001247651,0.00006818747,0.008060704],"genre_scores_gemma":[0.9975417,0.00004341575,0.001421809,0.00003536162,0.0000205544,0.00007739473,0.000520452,0.00001920153,0.0003201053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006786277,"threshold_uncertainty_score":0.03391993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593514929468033,"score_gpt":0.2555249558037003,"score_spread":0.23958980650902,"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."}}