{"id":"W2783178463","doi":"","title":"Reverse Block Mall - Collectivization as Strategy Against Spatial Monopolization in Toronto","year":2018,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monopolization; Block (permutation group theory); Computer science; Mathematics; Economics; Microeconomics","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":[0.001684714,0.0003293633,0.0002518273,0.0007288497,0.01333139,0.004718224,0.001189702,0.001131537,0.006455811],"category_scores_gemma":[0.001989259,0.0002994165,0.0003808667,0.001164427,0.01579211,0.001563361,0.005796431,0.001264791,0.0003711304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06405671,"about_ca_system_score_gemma":0.0493452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8396363,"about_ca_topic_score_gemma":0.9546799,"domain_scores_codex":[0.997696,0.0007370231,0.00005168086,0.0002447598,0.0003688207,0.0009016615],"domain_scores_gemma":[0.9983517,0.000286132,0.000143685,0.0002925048,0.0002922505,0.0006336897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001525535,0.00005041255,0.01111811,0.0001640194,0.0000345835,0.001181821,0.1888119,0.00216357,0.00273056,0.741989,0.01232534,0.03927819],"study_design_scores_gemma":[0.00006408068,0.0002260821,0.0348822,0.0002371959,0.0001031277,0.0005197171,0.1790544,0.00340915,0.004857445,0.02907277,0.7474828,0.0000909293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6312905,0.00107831,0.00875238,0.009936693,0.0001052434,0.0002183414,0.0001388869,0.0001433657,0.3483364],"genre_scores_gemma":[0.9603293,0.0001845319,0.001222871,0.0002788776,0.000008248209,0.00003947675,0.00003114641,0.00002585684,0.03787965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1603637,"threshold_uncertainty_score":0.4647661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117864250612172,"score_gpt":0.2454805040457251,"score_spread":0.2336940789845079,"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."}}