{"id":"W2614081419","doi":"10.71781/3101","title":"Planning for public spaces in multiethnic contexts : a case study of Mountains sights, Montreal","year":2004,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Place Attachment and Urban Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sight; Public space; Geography; Visual arts; Architectural engineering; Art; Engineering; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003046551,0.0002949373,0.0004796233,0.0004415038,0.005370741,0.00005780317,0.0002889335,0.0003094852,0.000005612649],"category_scores_gemma":[0.000111919,0.0003247453,0.0001797746,0.000354878,0.0002006408,0.000376187,0.00005922501,0.0002520159,0.000001727829],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004215481,"about_ca_system_score_gemma":0.001985141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4132537,"about_ca_topic_score_gemma":0.8445969,"domain_scores_codex":[0.9980096,0.0001609011,0.0003799018,0.0004465211,0.0005695916,0.0004335247],"domain_scores_gemma":[0.9986985,0.0002481846,0.0004258772,0.0001736347,0.0002949486,0.0001588127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009228196,0.0009975039,0.09555811,0.0001262591,0.0004949499,0.008341023,0.8851034,0.0009547354,0.0001628003,0.005569811,0.0003669351,0.001401629],"study_design_scores_gemma":[0.00302186,0.0002349221,0.02986493,0.0001933498,0.0002289368,0.0000825458,0.9601894,0.00007275482,0.00005636505,0.0001905466,0.005489586,0.0003748128],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688644,0.0133736,0.00001111542,0.000110398,0.0005062507,0.001224268,0.00003316131,0.00006038657,0.01581639],"genre_scores_gemma":[0.9775898,0.000158945,0.0000461351,0.000009689483,0.0001012481,0.00009375735,0.0001035722,0.00001668185,0.02188018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4313432,"threshold_uncertainty_score":0.9999205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169733763795905,"score_gpt":0.2660641776393433,"score_spread":0.2443668400013843,"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."}}