{"id":"W7132980040","doi":"","title":"CityPlace and City Space: An Investigation into Toronto&apos;s Changing Skyline","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Narrative; Downtown; Negotiation; Urban planning; Locality; Gentrification; Skyline; Urban studies; Variety (cybernetics)","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":[0.001024491,0.0003695498,0.000227266,0.00127037,0.02336135,0.007089373,0.001314416,0.001400404,0.007472021],"category_scores_gemma":[0.002394891,0.0003841082,0.0003029777,0.003107551,0.02095775,0.002807474,0.005443474,0.002202364,0.000313827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05869454,"about_ca_system_score_gemma":0.01997106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8525067,"about_ca_topic_score_gemma":0.9604233,"domain_scores_codex":[0.9985293,0.0006740146,0.00002977993,0.0001436935,0.0002277944,0.0003953133],"domain_scores_gemma":[0.9981757,0.000621976,0.0001966478,0.0001111226,0.0001894999,0.0007049746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002074608,0.000006174047,0.002883001,0.0000512167,0.000003127882,0.0008194301,0.9596378,0.0001179322,0.0003536235,0.02876977,0.004335157,0.003002044],"study_design_scores_gemma":[0.000002438376,0.00001038375,0.004671158,0.0000525581,0.000004618852,0.0001148069,0.9076067,0.00009134688,0.0001503944,0.0006087373,0.08667425,0.0000126122],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8569903,0.001583147,0.001353666,0.00844392,0.0002114068,0.00009477191,0.0006418835,0.00005306973,0.1306278],"genre_scores_gemma":[0.9801263,0.0005897155,0.000286118,0.0002514793,0.00001926053,0.00003055058,0.00009953179,0.00003787252,0.01855907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1474933,"threshold_uncertainty_score":0.4258607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03820396384884087,"score_gpt":0.3873712928673643,"score_spread":0.3491673290185234,"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."}}