{"id":"W4243137884","doi":"10.32920/ryerson.14658192","title":"Toronto’s apartment tower renewal initiative: infusing value into surplus lands for community development","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Apartment; Tower; Infill; Subdivision; Value (mathematics); Business; Environmental planning; Natural resource economics; Finance; Economic growth; Engineering; Economics; Geography; Civil engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008050592,0.000476683,0.0005922974,0.00005248257,0.000270225,0.0002232065,0.000357561,0.0004227806,0.0003293296],"category_scores_gemma":[0.0001332187,0.0004673337,0.0001595458,0.00006933644,0.00004648761,0.0002224145,0.0007807554,0.0007190258,9.597007e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003874742,"about_ca_system_score_gemma":0.0009405079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609316,"about_ca_topic_score_gemma":0.01207102,"domain_scores_codex":[0.9981622,0.0001797708,0.0006066923,0.0003287717,0.0002918311,0.0004307015],"domain_scores_gemma":[0.9984033,0.0001812694,0.00007266653,0.000735659,0.0004384304,0.0001687314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004677888,0.001504541,0.009375806,0.01716945,0.006347678,0.00007713247,0.3649079,0.4282095,0.001073414,0.004850435,0.06036739,0.1056489],"study_design_scores_gemma":[0.009112226,0.0008537194,0.03332086,0.001565398,0.00083669,0.0000517951,0.1603405,0.06981131,0.03673214,0.2542992,0.4221254,0.01095079],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366757,0.001431226,0.1717237,0.000130187,0.002851221,0.001484178,0.00003487395,0.0007323913,0.08493653],"genre_scores_gemma":[0.9504948,0.00004119355,0.04763237,0.000190459,0.000175535,0.0002516262,0.0009378982,0.00005769963,0.000218393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.361758,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038610386181794,"score_gpt":0.2656985313615752,"score_spread":0.2453124274997572,"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."}}