{"id":"W1503670097","doi":"","title":"Climate for Change-Non-State Actors and the Global Politics of the Greenhouse","year":2001,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Climate change; Politics; State (computer science); Greenhouse; Environmental science; Political science; Geology; Computer science; Law; Agronomy; Oceanography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003333265,0.00009205558,0.0001057994,0.000003628449,0.000395538,0.00002008296,0.0004511971,0.00001998667,0.0000378663],"category_scores_gemma":[0.0001419545,0.00005222193,0.00003574713,0.0003240864,0.001035993,0.0001285795,0.0002700295,0.00004591692,7.885266e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004260046,"about_ca_system_score_gemma":0.0001033568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6666379,"about_ca_topic_score_gemma":0.8622308,"domain_scores_codex":[0.9988333,0.00002880297,0.0001336097,0.0002075272,0.000342026,0.0004547112],"domain_scores_gemma":[0.9994196,0.00008774687,0.0001069101,0.0002867105,0.00001660302,0.0000824233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009875099,0.00004145535,0.9785179,0.00007885684,0.000005853259,0.000008135151,0.004779843,0.0001643411,0.00006746747,0.003411096,0.002088353,0.01073788],"study_design_scores_gemma":[0.0007010025,0.00003857204,0.9476846,0.00001838919,0.00001508468,0.00001875076,0.003804947,0.001918026,0.000195687,0.004900423,0.04053012,0.0001743786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944936,0.00005152924,0.0000313294,0.003970397,0.0002430986,0.000436163,0.0001922485,0.000005095201,0.0005765257],"genre_scores_gemma":[0.99764,0.0001174168,0.00002881592,0.001821242,0.00002357633,0.00003757873,5.886084e-7,0.000003860803,0.0003269582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1955929,"threshold_uncertainty_score":0.3817158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116934274458028,"score_gpt":0.2173169467160303,"score_spread":0.2056235192702275,"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."}}