{"id":"W2263516610","doi":"","title":"Patterns of Our Footsteps: Topophilia, Rhythm, and Diversity in Urban Landscapes","year":2014,"lang":"en","type":"article","venue":"Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of the Fraser Valley; Royal Roads University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Rhythm; Diversity (politics); Downtown; Movement (music); Sense of place; Space (punctuation); Geography; Sociology; Communication; Aesthetics; Economic geography; Computer science; Art; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008244554,0.0001929483,0.0001857581,0.001594384,0.003395856,0.007742686,0.0004626982,0.0004302639,0.002842585],"category_scores_gemma":[0.002501259,0.0002016365,0.0001317208,0.002562841,0.01354525,0.002920923,0.003982461,0.0005751232,0.0001796413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496094,"about_ca_system_score_gemma":0.0009219829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01457673,"about_ca_topic_score_gemma":0.04007876,"domain_scores_codex":[0.9989367,0.0006397289,0.00002912043,0.0001150376,0.0001573907,0.0001219459],"domain_scores_gemma":[0.9992174,0.0002996607,0.0001166702,0.0001155036,0.00007974405,0.0001711094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001433145,0.00003671359,0.05063693,0.0002253245,0.00003658239,0.0009909112,0.536073,0.00117338,0.001969091,0.3221564,0.006076701,0.08048164],"study_design_scores_gemma":[0.00002418455,0.00009528366,0.1128702,0.0003334116,0.00003522397,0.001182588,0.6610073,0.00129066,0.0007428346,0.1213557,0.100998,0.00006466162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405029,0.001867056,0.01887053,0.002970477,0.00008161805,0.00006556613,0.0001947437,0.00005494884,0.1353921],"genre_scores_gemma":[0.9968398,0.0001964975,0.001355059,0.00003430805,0.000006506958,0.00001184363,0.00001796784,0.00001358425,0.00152445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01457673,"threshold_uncertainty_score":0.02898377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05051337452980147,"score_gpt":0.3239201556397015,"score_spread":0.2734067811099,"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."}}