{"id":"W2000594193","doi":"10.3917/ag.681.0509","title":"La gouvernance métropolitaine écartelée entre adaptation économique et spatiale à la globalisation et respect de la démocratie locale, l'exemple de la fusion de Toronto (Canada)","year":2011,"lang":"fr","type":"article","venue":"Annales de Géographie","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":[0.0004589768,0.000370145,0.0002413326,0.0008986168,0.006957639,0.006459724,0.0005809311,0.0009783542,0.01295359],"category_scores_gemma":[0.0007395553,0.0001849083,0.0002649879,0.002584554,0.01165366,0.001422171,0.003414419,0.001132563,0.0007443871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03695092,"about_ca_system_score_gemma":0.02111106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7886311,"about_ca_topic_score_gemma":0.9278835,"domain_scores_codex":[0.9990626,0.0001873276,0.00001561914,0.000156382,0.0002317066,0.0003463886],"domain_scores_gemma":[0.9995512,0.00006657391,0.00006250606,0.00004035217,0.0001125481,0.0001666253],"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":[0.00005833314,0.00001022595,0.009733713,0.0001050966,0.00002294643,0.0004108007,0.0230591,0.0005083217,0.001422403,0.9338892,0.009846442,0.02093347],"study_design_scores_gemma":[0.00001180573,0.00003150329,0.06742722,0.0001652932,0.00002683341,0.0003416962,0.02340577,0.0004007582,0.000924722,0.02625078,0.8809739,0.00003977485],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1905548,0.008753404,0.007660408,0.01968458,0.0002868509,0.00007387259,0.0005891842,0.0001263314,0.7722706],"genre_scores_gemma":[0.8721648,0.002228143,0.001962686,0.0008299922,0.00004807579,0.00003450572,0.0001733587,0.0000479888,0.1225104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2113689,"threshold_uncertainty_score":0.4252273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129630190598923,"score_gpt":0.2656370645165156,"score_spread":0.2343407626105264,"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."}}