{"id":"W138602401","doi":"","title":"Montreal: Landscapes and Urban Form A city of islands in a majestic river, Montreal offers a rich array of cultural institutions and a rich landscape legacy","year":2001,"lang":"en","type":"article","venue":"Landscape architecture","topic":"Landscape and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cultural landscape; Archaeology; Landscape architecture; Geography; Civil engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001301103,0.0003763659,0.0006881951,0.0002477095,0.0002870183,0.0001033542,0.0001874968,0.0001131391,0.0001528016],"category_scores_gemma":[0.00006260996,0.0002358664,0.0001106623,0.0002354887,0.000350419,0.0003380434,0.0001074786,0.0002879676,0.000002049725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000148006,"about_ca_system_score_gemma":0.00003691232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030727,"about_ca_topic_score_gemma":0.05059466,"domain_scores_codex":[0.9983522,0.00006095192,0.0004746095,0.0003988346,0.0002695438,0.0004438637],"domain_scores_gemma":[0.9991744,0.0001574904,0.0001970527,0.0002187142,0.0001279714,0.000124408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00078946,0.0003723151,0.6958111,0.0003171442,0.0003567901,0.00005669297,0.2907664,0.00009278519,0.0003226258,0.003062206,0.002412196,0.005640266],"study_design_scores_gemma":[0.01248962,0.001402374,0.8873039,0.0006468619,0.0006294866,0.0003911992,0.05234316,0.0006938846,0.0002022124,0.007870361,0.0345097,0.001517205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533749,0.003193259,0.00001976037,0.0003946776,0.00008677145,0.0003253269,0.0001335419,0.00005800793,0.04241381],"genre_scores_gemma":[0.997776,0.0009934203,0.00006982564,0.00008607961,0.0002268859,0.00003752905,0.00006863253,0.00001842727,0.0007231779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2384233,"threshold_uncertainty_score":0.9667295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722064825454777,"score_gpt":0.2231042339001409,"score_spread":0.2058835856455931,"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."}}