{"id":"W4249745954","doi":"10.32920/ryerson.14661402","title":"Rethinking planning in a digital marketplace: implications of e-commerce for land use policy in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thriving; Real estate; Business; Land use; Plan (archaeology); Government (linguistics); Key (lock); Land-use planning; Scenario planning; Marketing; Environmental planning; Finance; Geography; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005527987,0.0001130798,0.0002536947,0.0001371188,0.0001009727,0.0003289689,0.0002613777,0.0002692383,0.0000877085],"category_scores_gemma":[0.001520806,0.0001291188,0.00006512563,0.0002794821,0.00004943941,0.0004444169,0.0002029332,0.000211178,3.766541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005567014,"about_ca_system_score_gemma":0.0005728029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08605073,"about_ca_topic_score_gemma":0.1939304,"domain_scores_codex":[0.9988744,0.00008263815,0.0003568969,0.0002746603,0.0001691772,0.0002422172],"domain_scores_gemma":[0.9989356,0.0005373035,0.0001501234,0.0001983866,0.0001194696,0.00005914492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002056619,0.0000709732,0.9070918,0.00006652261,0.00001567252,0.000001549188,0.06646418,0.000485624,0.00001050569,0.02413212,0.0007952716,0.0008452451],"study_design_scores_gemma":[0.0008755155,0.00002018663,0.9271486,0.001107321,0.00001819465,0.000001298567,0.04573803,0.00121589,0.00001312928,0.01200242,0.01126506,0.0005943471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8215871,0.0003512476,0.004962835,0.003423332,0.0001806937,0.0009411693,0.0001007403,0.00009471308,0.1683582],"genre_scores_gemma":[0.9957327,0.0000662891,0.001280028,0.0002582155,0.00009329969,0.00004773512,0.0002049978,0.00001369219,0.002303031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1741456,"threshold_uncertainty_score":0.9200354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06764581750787237,"score_gpt":0.3713998605890346,"score_spread":0.3037540430811622,"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."}}