{"id":"W2186981681","doi":"10.1111/caje.12239","title":"An amplification mechanism in a model of energy","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depreciation (economics); Shock (circulatory); Economics; Mechanism (biology); Energy (signal processing); Function (biology); Econometrics; Capital (architecture); Microeconomics; Energy consumption; Monetary economics; Capital formation; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008162409,0.0007095981,0.0009254978,0.0007285453,0.0006581543,0.002894701,0.001812684,0.002480984,0.01075789],"category_scores_gemma":[0.00313376,0.0005848896,0.001037669,0.0006519461,0.001745873,0.003636693,0.002350289,0.001529434,0.0007373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349698,"about_ca_system_score_gemma":0.0007720786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003603889,"about_ca_topic_score_gemma":0.001287803,"domain_scores_codex":[0.9995951,0.000142756,0.0000197522,0.00007290144,0.00008701029,0.00008246654],"domain_scores_gemma":[0.9987277,0.0006640912,0.0002221069,0.0001191319,0.0001253158,0.0001415166],"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":[0.0001451756,0.0001101599,0.001149758,0.00009262282,0.00005288402,0.0007267907,0.0003435863,0.4489864,0.005306883,0.5372677,0.001540898,0.004277064],"study_design_scores_gemma":[0.00006169549,0.00006496723,0.0004197331,0.00001636896,0.0000254008,0.0001387155,0.00009251933,0.8664492,0.0004529392,0.1308305,0.00141464,0.0000331593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5222359,0.001269104,0.3538668,0.007333968,0.0002203443,0.0001533368,0.000485329,0.0008374635,0.1135979],"genre_scores_gemma":[0.9810526,0.0002126738,0.002671644,0.0001056894,0.00003639728,0.00003683012,0.00002906813,0.00003693374,0.01581816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01075789,"threshold_uncertainty_score":0.03598875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279013493259947,"score_gpt":0.1786612950014657,"score_spread":0.05075994567547101,"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."}}