{"id":"W1607354534","doi":"10.31542/j.ecj.138","title":"Climate Change Strategies 101","year":2013,"lang":"en","type":"article","venue":"Earth Common Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"MacEwan University; Government of Alberta","keywords":"Climate change; Government (linguistics); Politics; Action plan; Work (physics); Odds; Business; Process (computing); Greenhouse gas; Political economy of climate change; Public economics; Political science; Economics; Environmental resource management; Computer science; Engineering; Management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004294981,0.0001603245,0.0003559944,0.0002128441,0.0002701677,0.0006232007,0.0002612046,0.0000891755,0.007049445],"category_scores_gemma":[0.00001888982,0.000176298,0.0001425633,0.000100439,0.00004846303,0.001235698,0.00007993765,0.00033125,0.009286849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003457061,"about_ca_system_score_gemma":0.000008566743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002610102,"about_ca_topic_score_gemma":0.000117266,"domain_scores_codex":[0.998612,0.00001707559,0.0006140698,0.0001900401,0.00002656533,0.0005402861],"domain_scores_gemma":[0.9991021,0.00003372923,0.000389072,0.0002430046,0.00002679641,0.0002053557],"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":[0.00003963405,0.0002481089,0.2548085,0.00009397593,0.0001270002,0.00004433453,0.006083339,0.0000791674,0.00004852385,0.6804655,0.01336366,0.04459831],"study_design_scores_gemma":[0.00161286,0.0003080004,0.4427649,0.00009617971,0.00001076829,0.0004406705,0.002124334,0.004169799,0.00007773116,0.3600063,0.1873812,0.001007294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873969,0.002307994,0.0001310738,0.004781673,0.00123138,0.0002227145,0.0001198577,0.00005580135,0.1171806],"genre_scores_gemma":[0.9940795,0.002707015,0.0004574808,0.001331403,0.00107031,0.00003022527,0.00000919487,0.00003041605,0.0002844539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3204592,"threshold_uncertainty_score":0.9938582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122380949948434,"score_gpt":0.259830239324879,"score_spread":0.137449289376445,"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."}}