{"id":"W2955470219","doi":"10.15353/rea.v11i1.1519","title":"Visible and Invisible Forces. What Drives the Intensity of Trading in the European Carbon Market?","year":2019,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unobservable; Carbon market; Futures contract; Transparency (behavior); Futures market; Emissions trading; Economics; Observable; Intensity (physics); European union; Business; Econometrics; Financial economics; Climate change; International economics; Ecology; Computer science","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":[0.001502716,0.0002511013,0.0004047532,0.0006554789,0.0003278283,0.002476565,0.0005653067,0.001386176,0.002679347],"category_scores_gemma":[0.009353716,0.0002586021,0.0005070079,0.0007080832,0.001732177,0.004046993,0.0007925716,0.001385088,0.0002353619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005579444,"about_ca_system_score_gemma":0.0003331435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202685,"about_ca_topic_score_gemma":0.001866652,"domain_scores_codex":[0.9993405,0.0002175418,0.00003945227,0.0001299865,0.0001807993,0.00009171652],"domain_scores_gemma":[0.9919506,0.003963009,0.003143842,0.0003415056,0.0002809319,0.0003201163],"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":[0.0007027555,0.0007053627,0.3343722,0.0006017737,0.000761519,0.001218196,0.002709887,0.09339997,0.02311964,0.3976888,0.002520894,0.1421991],"study_design_scores_gemma":[0.0001294641,0.0003913759,0.3931209,0.0002415494,0.0002402619,0.0004620693,0.002384045,0.1513662,0.003664837,0.4380037,0.009793054,0.000202508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507509,0.003693474,0.02522796,0.00350509,0.00007518088,0.00003161533,0.0001571981,0.00005105783,0.01650757],"genre_scores_gemma":[0.9976537,0.0007077607,0.0008281145,0.00008195876,0.0000648928,0.000004790979,0.00002293351,0.000007821853,0.0006280213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002679347,"threshold_uncertainty_score":0.008963287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585516150287718,"score_gpt":0.254028722207034,"score_spread":0.2081735607041568,"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."}}