{"id":"W7011649651","doi":"","title":"Metropolitics and metabolics: Rolling out environmentalism in Toronto","year":2006,"lang":"en","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"","field":"","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmentalism; Government (linguistics); Work (physics); State (computer science)","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":[0.000537522,0.0002775211,0.0001446123,0.0006252486,0.008864083,0.004466796,0.0007898242,0.001199075,0.03118655],"category_scores_gemma":[0.001222876,0.000206863,0.0002651886,0.002428485,0.003918684,0.001904089,0.003093841,0.001140354,0.000839436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03922269,"about_ca_system_score_gemma":0.03215027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.956548,"about_ca_topic_score_gemma":0.990805,"domain_scores_codex":[0.9993296,0.0001427973,0.00001654234,0.00006498123,0.0001062807,0.0003398211],"domain_scores_gemma":[0.9991879,0.00009050493,0.00005914912,0.0000614833,0.0001372431,0.0004637437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001780331,0.00005182421,0.0317695,0.0002806491,0.00003114401,0.00133784,0.1412577,0.001333131,0.0006970112,0.4802996,0.2376624,0.1051012],"study_design_scores_gemma":[0.00001343175,0.00002680369,0.06353545,0.0001923889,0.0000328633,0.0001598612,0.1131347,0.0004506326,0.0005148771,0.009392958,0.8125096,0.00003642823],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2184226,0.007708404,0.00141683,0.05979832,0.0004486354,0.00005664113,0.00128431,0.0001494062,0.7107149],"genre_scores_gemma":[0.7687326,0.003394853,0.0007808624,0.001205232,0.00007543471,0.00002087169,0.0003053496,0.0001389659,0.2253458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04345202,"threshold_uncertainty_score":0.2845818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321370646434212,"score_gpt":0.3357098510133849,"score_spread":0.2924961445490427,"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."}}