{"id":"W6997114217","doi":"","title":"Using computerized imaging to evaluate the visual preference effects of downtown streetscape elements","year":2000,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Preference; Visual search; Correlation; Positive correlation; Factorial experiment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002345469,0.0002917798,0.0001051576,0.0004878957,0.00009074069,0.0002318528,0.0001639905,0.0002003144,0.00450034],"category_scores_gemma":[0.001050632,0.0001350691,0.0002115688,0.0002739133,0.0001818573,0.0001907026,0.0001985017,0.0002874323,0.0002522521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270499,"about_ca_system_score_gemma":0.000168343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276502,"about_ca_topic_score_gemma":0.005341353,"domain_scores_codex":[0.9998426,0.00004011955,0.000008138757,0.00002802816,0.00005994494,0.00002112116],"domain_scores_gemma":[0.9994608,0.0002342081,0.0001248506,0.0000411495,0.00009367777,0.00004533262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003013129,0.002209629,0.08076978,0.0002927331,0.000116006,0.0001638594,0.0004207993,0.001033771,0.8427635,0.0003581879,0.0003115135,0.06854701],"study_design_scores_gemma":[0.00008622614,0.009018099,0.8341695,0.00003548077,0.00007933418,0.000540223,0.0005617585,0.001970367,0.1520853,0.000188181,0.001235445,0.0000301095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978414,0.00006477824,0.0007138849,0.00001163531,0.000002731574,0.00003296558,0.0000674689,0.000004671792,0.001260448],"genre_scores_gemma":[0.9908189,0.0002281474,0.006272229,0.00004919487,0.000004802079,0.00009125951,0.000211028,0.000007630602,0.002316825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00450034,"threshold_uncertainty_score":0.01505512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288747678169506,"score_gpt":0.2690640259061546,"score_spread":0.2461765491244596,"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."}}