{"id":"W2910632475","doi":"10.71781/20922","title":"Essays in econometrics and energy markets","year":2018,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Econometrics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004410277,0.001055943,0.001295962,0.002662726,0.001028168,0.004028177,0.0009440599,0.003090033,0.02886485],"category_scores_gemma":[0.01769035,0.0006118092,0.001816505,0.005741728,0.002892398,0.005240559,0.001843455,0.003155184,0.004949237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271506,"about_ca_system_score_gemma":0.002280959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003404091,"about_ca_topic_score_gemma":0.002942184,"domain_scores_codex":[0.9968657,0.001592916,0.0002247315,0.0003479573,0.0007616816,0.0002069572],"domain_scores_gemma":[0.9875909,0.009829893,0.0005091292,0.0008414976,0.0009941645,0.0002343631],"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":[0.0000492515,0.00007246651,0.00228374,0.0006421295,0.0001285781,0.0002335258,0.0005138625,0.007667702,0.0002114588,0.7836202,0.1062074,0.09836968],"study_design_scores_gemma":[0.00002468002,0.00002573548,0.002188174,0.0005316209,0.00003215031,0.0001967416,0.0003801523,0.005663513,0.000138827,0.6920838,0.2987044,0.00003002832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01420055,0.3526514,0.2048955,0.1422217,0.0127496,0.0001260934,0.002129606,0.0004953997,0.2705302],"genre_scores_gemma":[0.3546926,0.3238693,0.05202892,0.01450098,0.02794283,0.0006355598,0.002887846,0.0008804166,0.2225615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02886485,"threshold_uncertainty_score":0.09656256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760161863634544,"score_gpt":0.2586862597007635,"score_spread":0.221084641064418,"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."}}