{"id":"W7111448014","doi":"","title":"Shape files from Proposing targets and limits to urban sprawl: How likely are current greenbelt scenarios for Montreal to achieve proposed reference values by 2070?","year":2025,"lang":"en","type":"other","venue":"Spectrum Research Repository (Concordia University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Current (fluid); Reference data; Urban area; Reference values; Urban environment","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":[0.0007789778,0.001453782,0.0006627041,0.003649335,0.0006229146,0.001830342,0.00229115,0.001245769,0.06422986],"category_scores_gemma":[0.006219562,0.0005410137,0.0009863043,0.005479652,0.0003206163,0.001382775,0.001322433,0.001092054,0.03542542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003694034,"about_ca_system_score_gemma":0.003918382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4153829,"about_ca_topic_score_gemma":0.538614,"domain_scores_codex":[0.9994919,0.00004621036,0.00003737436,0.00007094159,0.0002568806,0.00009661821],"domain_scores_gemma":[0.997429,0.0004925228,0.000200733,0.0003649962,0.001304329,0.0002084657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007022538,0.00002797321,0.005543451,0.0003525128,0.0000305378,0.00005959604,0.00009543458,0.002245589,0.0001523479,0.001242958,0.9791118,0.01106745],"study_design_scores_gemma":[0.0001287879,0.000017767,0.02057578,0.0002826176,0.00001810115,0.00004820551,0.0003422126,0.00396929,0.0007976527,0.002005854,0.9717373,0.00007645984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007561165,0.00006677867,0.0003625624,0.00017097,0.00002665801,0.00002653558,0.9929207,0.001724943,0.003944734],"genre_scores_gemma":[0.004104993,0.0001405509,0.0014216,0.00005708994,0.00001042248,0.00009957991,0.9908591,0.0004950743,0.002811628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5846171,"threshold_uncertainty_score":0.8259302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571422628977215,"score_gpt":0.2853220524182042,"score_spread":0.249607826128432,"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."}}