{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001634123,0.0001833206,0.0003654693,0.0001890322,0.004330868,0.00103129,0.003014633,0.00008429842,0.000005868505],"category_scores_gemma":[0.0001082506,0.0001430925,0.000126233,0.001443616,0.0007058723,0.002335472,0.001309383,0.0001140403,7.694123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509495,"about_ca_system_score_gemma":0.0001605817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005271658,"about_ca_topic_score_gemma":0.002808336,"domain_scores_codex":[0.9980551,0.00007187406,0.0003390146,0.0004342114,0.0006344097,0.0004653653],"domain_scores_gemma":[0.9993978,0.00006932307,0.0001617544,0.000160203,0.000112347,0.00009855897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001177005,0.0002332151,0.8480552,0.0003140079,0.0002202309,0.0000107682,0.02536578,0.003635086,0.006555041,0.05814767,0.005651717,0.0516936],"study_design_scores_gemma":[0.002996214,0.0002979168,0.9086173,0.0001908712,0.0004709288,0.00001021862,0.01109691,0.04359402,0.009691686,0.00562767,0.01527826,0.002128019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746167,0.00009517428,0.00419762,0.001584571,0.001572104,0.0008435143,0.00003991496,0.00007459772,0.0169758],"genre_scores_gemma":[0.9991677,0.00002114008,0.00009360015,0.00008797227,0.0004287479,0.00003903946,0.000001973962,0.000008334749,0.0001515316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06056211,"threshold_uncertainty_score":0.9969653,"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."}}