{"id":"W4400115005","doi":"10.1007/978-3-031-51093-9_17","title":"Federal Systems and the Fight Against Climate Change: A Comparative Analysis of India and Canada","year":2024,"lang":"en","type":"book-chapter","venue":"Federalism and internal conflicts","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg; Université du Québec à Montréal","funders":"","keywords":"Climate change; Geography; Political science; Climatology; Ecology; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005602436,0.0002865783,0.0004055338,0.003904811,0.00651256,0.005861811,0.001552523,0.0009952039,0.007080611],"category_scores_gemma":[0.002944862,0.000223982,0.0005544479,0.01415094,0.003152978,0.001078228,0.001354842,0.00142899,0.0002660324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09345632,"about_ca_system_score_gemma":0.09519591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932808,"about_ca_topic_score_gemma":0.997088,"domain_scores_codex":[0.9986705,0.0001132814,0.0000178763,0.00005118831,0.0003526343,0.0007945796],"domain_scores_gemma":[0.9982705,0.0003675611,0.000206105,0.00004041293,0.0007591519,0.0003563151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005287179,0.0002594413,0.1953683,0.0004497611,0.0003796504,0.001048757,0.01406293,0.01430598,0.0007212116,0.628238,0.06349152,0.08114585],"study_design_scores_gemma":[0.00009628769,0.00008596384,0.7130651,0.0004435581,0.0005292877,0.000301505,0.06531467,0.007384155,0.0007270644,0.02533716,0.1865718,0.0001433396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.739876,0.01914657,0.0004112235,0.01334471,0.00009851017,0.00005699238,0.002295448,0.00006920845,0.2247013],"genre_scores_gemma":[0.9770741,0.007131484,0.0001965672,0.0003679562,0.00002218398,0.00001357192,0.0005531237,0.00002220396,0.01461897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09345632,"threshold_uncertainty_score":0.6780763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04918593128731529,"score_gpt":0.2335317880893576,"score_spread":0.1843458568020423,"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."}}