{"id":"W4386496396","doi":"10.1007/s10663-023-09584-x","title":"A note on CO2 emissions using two new tests","year":2023,"lang":"en","type":"article","venue":"Empirica","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Unit root; Shock (circulatory); Path (computing); Structural break; Greenhouse gas; Economics; Econometrics; Wavelet; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0341242,0.003109526,0.004797361,0.004676515,0.001898803,0.004322247,0.004874981,0.004080339,0.0133512],"category_scores_gemma":[0.157275,0.0007086482,0.005064358,0.003100584,0.005893722,0.01131794,0.004882409,0.008698567,0.001611481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00244377,"about_ca_system_score_gemma":0.002470581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347985,"about_ca_topic_score_gemma":0.01390077,"domain_scores_codex":[0.9710166,0.0191484,0.001638746,0.002924696,0.004486955,0.0007845086],"domain_scores_gemma":[0.5672587,0.3985201,0.004086056,0.01761328,0.01107395,0.001447958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001346629,0.0008445887,0.04507049,0.001385432,0.00242653,0.004425711,0.000928738,0.02316803,0.004042712,0.5604748,0.06653908,0.2893473],"study_design_scores_gemma":[0.001151378,0.0009439444,0.0373284,0.00065484,0.001182227,0.0016414,0.0008613408,0.1103622,0.008462508,0.7585586,0.07816302,0.0006900738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08650301,0.0200635,0.6717747,0.1003424,0.01327387,0.0005107758,0.004016235,0.001505523,0.10201],"genre_scores_gemma":[0.6568047,0.007091782,0.25011,0.01733482,0.0166476,0.0008649476,0.002323876,0.0007877293,0.04803458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0341242,"threshold_uncertainty_score":0.1804682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08436606233494817,"score_gpt":0.2980609971402888,"score_spread":0.2136949348053407,"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."}}