{"id":"W174409094","doi":"","title":"Barriers to Canadian Municipal Response to Climate Change","year":2005,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Political science; Geography; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007101411,0.0001622408,0.0004190257,0.004361497,0.000535783,0.0002662465,0.0008713002,0.0001489418,0.002918129],"category_scores_gemma":[0.002461238,0.000205628,0.0001290783,0.0008057033,0.00009699226,0.0003306741,0.00006287733,0.0005548979,0.00360829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003100184,"about_ca_system_score_gemma":0.001552661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5135819,"about_ca_topic_score_gemma":0.9383944,"domain_scores_codex":[0.9970482,0.0001216161,0.0007188936,0.0003002123,0.0000803167,0.001730789],"domain_scores_gemma":[0.9905651,0.0001714777,0.0001266404,0.0004513789,0.0002171216,0.008468302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00172806,0.00004634148,0.3091954,0.0001032648,0.0002120928,0.001016814,0.09602821,0.0006969276,0.00009790069,0.1439048,0.4392289,0.007741286],"study_design_scores_gemma":[0.0003483633,0.0002864624,0.0248192,0.00006351184,0.000002187057,0.00003892347,0.001105556,0.0001391162,0.00002634622,0.000744799,0.9721736,0.0002519896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128834,0.001659534,0.000002822972,0.06931848,0.0005181648,0.0003721107,0.001273121,0.000004945634,0.01396739],"genre_scores_gemma":[0.9911191,0.0001670077,0.0002793186,0.006559982,0.00107379,0.00002870227,0.000003810611,0.00004983229,0.0007184503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5329446,"threshold_uncertainty_score":0.9979934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2579026606772024,"score_gpt":0.3457697490243439,"score_spread":0.08786708834714152,"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."}}