{"id":"W3148541183","doi":"10.1177/23998083211003886","title":"Creation of a rough runnability index using an affordance-based framework","year":2021,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Affordance; Walkability; Downtown; Computer science; Built environment; Geography; Engineering; Civil engineering; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001238273,0.0007579658,0.0006386087,0.009069297,0.0007092411,0.002282826,0.0007926974,0.0005324259,0.003621026],"category_scores_gemma":[0.006100158,0.000297003,0.001146594,0.005146865,0.0009943367,0.001689416,0.002016185,0.0007501399,0.0005412658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013416,"about_ca_system_score_gemma":0.0009799307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650611,"about_ca_topic_score_gemma":0.03024343,"domain_scores_codex":[0.9988815,0.0002198225,0.000125482,0.000206171,0.0004629329,0.0001040627],"domain_scores_gemma":[0.9973722,0.0008172905,0.0004226223,0.0002442344,0.0009106051,0.0002330241],"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":[0.0005158174,0.0008109037,0.5518239,0.001302538,0.0007924939,0.0007952922,0.00589664,0.0831516,0.01931095,0.05817489,0.008736101,0.2686889],"study_design_scores_gemma":[0.00004991606,0.0006192567,0.5564357,0.0003451539,0.0003769392,0.0006324254,0.008490984,0.341778,0.005907318,0.05377184,0.03128402,0.0003083452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6281186,0.0003824465,0.3435779,0.0002722153,0.00004475521,0.0006247875,0.005918168,0.001062383,0.01999866],"genre_scores_gemma":[0.8148891,0.0001055794,0.1797465,0.00002174093,0.00001199634,0.0003982375,0.0033807,0.00008457035,0.001361503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01650611,"threshold_uncertainty_score":0.03282005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04297986296293132,"score_gpt":0.3113421211594118,"score_spread":0.2683622581964805,"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."}}