{"id":"W2294884585","doi":"","title":"Following protocol : the political geography of climate change policymaking in Canada","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Climate change; Political geography; Geography; Political science; Regional science; Oceanography; Geology; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02534657,0.00178345,0.00336881,0.004391984,0.02201992,0.01035713,0.003658087,0.009420053,0.4539758],"category_scores_gemma":[0.1053973,0.001991129,0.002557335,0.007141065,0.004396709,0.003618531,0.004147547,0.009286254,0.141077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03970946,"about_ca_system_score_gemma":0.1826212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5612146,"about_ca_topic_score_gemma":0.6889187,"domain_scores_codex":[0.9852446,0.003598644,0.002277517,0.001464971,0.003587574,0.003826802],"domain_scores_gemma":[0.8998001,0.02151348,0.00331658,0.01088061,0.05711485,0.007374385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000995719,0.0001402837,0.0003475496,0.0007837453,0.00003095314,0.00003595805,0.000526556,0.0002080143,0.0001084883,0.004174448,0.9868761,0.005772165],"study_design_scores_gemma":[0.007836245,0.0002031749,0.007666462,0.004847733,0.0001488711,0.00003521434,0.002507431,0.000562801,0.000774471,0.005696576,0.9694724,0.0002486423],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004316025,0.0009051553,0.00393222,0.02894427,0.01747392,0.2734443,0.4965591,0.001903535,0.1725215],"genre_scores_gemma":[0.01063827,0.001012732,0.005684922,0.01402585,0.001012596,0.6795836,0.04822588,0.0005188442,0.2392973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4539758,"threshold_uncertainty_score":0.8827391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207820252627709,"score_gpt":0.3737722489477517,"score_spread":0.3416940464214747,"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."}}