{"id":"W2612827663","doi":"","title":"Revitalizing Cities Through Design of Waterfront Brownfields","year":2017,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Brownfield; Walkability; Urban design; Architectural engineering; Civil engineering; Engineering; Business; Built environment; Geography; Urban planning; Redevelopment","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":[0.001134275,0.0004907236,0.0001601358,0.000648469,0.001418729,0.002306162,0.001354986,0.0009031554,0.004711256],"category_scores_gemma":[0.001496091,0.0003003906,0.0003558958,0.0004386554,0.002658708,0.002048796,0.003258167,0.0007925655,0.0005313022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990912,"about_ca_system_score_gemma":0.002059007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005507848,"about_ca_topic_score_gemma":0.02114723,"domain_scores_codex":[0.9990438,0.0004491957,0.00002722651,0.00008071505,0.0002454362,0.0001536031],"domain_scores_gemma":[0.9995296,0.0001050437,0.00004235633,0.0001179829,0.0001139521,0.0000911602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000330341,0.0007937815,0.0134309,0.0009861944,0.00005830358,0.002440147,0.06378546,0.1049043,0.05083721,0.3787467,0.02020445,0.3634822],"study_design_scores_gemma":[0.0001522383,0.0009630306,0.009415438,0.0004694059,0.00009959661,0.001419594,0.07348134,0.08347913,0.03278499,0.08926848,0.7083227,0.0001440248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4930805,0.0005943415,0.3509631,0.002172081,0.0002011023,0.0008454885,0.0001029739,0.001116218,0.1509243],"genre_scores_gemma":[0.8403261,0.0004365513,0.1301253,0.0001772533,0.0000123204,0.000290855,0.00007848984,0.0002177533,0.02833536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9944922,"threshold_uncertainty_score":0.01576078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286469206389604,"score_gpt":0.2218248096881824,"score_spread":0.193177889049222,"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."}}