{"id":"W2171692349","doi":"10.7202/037602ar","title":"Constructing connections: urban forestry and Toronto’s West Don Lands revitalization","year":2009,"lang":"en","type":"article","venue":"Environnement urbain","topic":"Landscape and Cultural Studies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Precinct; Redress; Industrialisation; Late 19th century; Political science; Forestry; Geography; Environmental planning; Archaeology; Period (music); Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005483096,0.0001804167,0.0001181452,0.0005517359,0.01256994,0.003898941,0.0006746645,0.0006295825,0.006927666],"category_scores_gemma":[0.0009487804,0.0001331318,0.0000893749,0.001182786,0.01155416,0.001240818,0.003531417,0.00103013,0.0002162907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03607922,"about_ca_system_score_gemma":0.01529186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.778118,"about_ca_topic_score_gemma":0.9613369,"domain_scores_codex":[0.9992794,0.0002567176,0.000007897516,0.00004993078,0.000098631,0.0003074069],"domain_scores_gemma":[0.9993616,0.0001144945,0.00008166847,0.0000393267,0.00008587039,0.0003169715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006801811,0.00003673668,0.01982092,0.0001024704,0.00001079452,0.00207392,0.6850122,0.0005722262,0.0008519883,0.2363542,0.01662267,0.03847388],"study_design_scores_gemma":[0.000009530082,0.00003976264,0.05155399,0.0001209105,0.00001091021,0.0003086041,0.5197742,0.0002871699,0.0004501491,0.006330254,0.4210894,0.00002508308],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7658852,0.002232443,0.0006066886,0.007918142,0.00008514594,0.00002721887,0.00007720775,0.00002384792,0.2231441],"genre_scores_gemma":[0.9858683,0.0003123911,0.0001233023,0.000105488,0.000005990388,0.000004992852,0.00001418027,0.000005146814,0.01356018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.221882,"threshold_uncertainty_score":0.4463773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337890309436475,"score_gpt":0.2025735096886757,"score_spread":0.1891946065943109,"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."}}