{"id":"W6980953680","doi":"","title":"Defining targets and limits to urban sprawl: Are proposed greenbelt scenarios sufficient to achieve these benchmarks for Montreal by 2070?","year":2023,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Metropolitan area; Urban planning; Land use; Warning system; Urban area; Baseline (sea)","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":[0.002574659,0.0009408959,0.0003046557,0.001119896,0.0008385661,0.002915059,0.00166312,0.0007544078,0.002383747],"category_scores_gemma":[0.005178104,0.0002509721,0.0004904234,0.0009293482,0.001057432,0.00206919,0.0009555439,0.0007529519,0.0003338337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01767646,"about_ca_system_score_gemma":0.01739241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5586565,"about_ca_topic_score_gemma":0.7209558,"domain_scores_codex":[0.9985219,0.0003746973,0.00003563281,0.0001082329,0.000595785,0.0003638832],"domain_scores_gemma":[0.9982158,0.0002421269,0.000194023,0.00009433868,0.001000135,0.0002536012],"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":[0.0005581493,0.0005011508,0.1926593,0.001140333,0.0002682398,0.0006845857,0.00189307,0.4302406,0.01221578,0.1187842,0.03138532,0.2096691],"study_design_scores_gemma":[0.0002105411,0.001589717,0.345246,0.001196478,0.0003532306,0.0002194155,0.01572831,0.4263757,0.02163569,0.05384209,0.1330071,0.0005956599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7310696,0.003564402,0.06530225,0.009825384,0.000199998,0.0009398982,0.009303683,0.001057169,0.1787377],"genre_scores_gemma":[0.9821088,0.0007280924,0.01269265,0.0002316778,0.000008217277,0.0001915412,0.00168465,0.00003674411,0.002317571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4413435,"threshold_uncertainty_score":0.8878853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256972698282153,"score_gpt":0.3276735815849098,"score_spread":0.2951038546020883,"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."}}