{"id":"W3034549228","doi":"","title":"Quelle convergence pour les primes de risque sur les marchés boursiers ? Une analyse sur des données internationales sur la période 1984-2007","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003015534,0.0003595194,0.0006898452,0.003170167,0.0009356661,0.002533493,0.000612453,0.0003366438,0.007421138],"category_scores_gemma":[0.01194227,0.0002667333,0.0008296193,0.009702927,0.001157846,0.001879092,0.001561492,0.001196899,0.0007638402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002691443,"about_ca_system_score_gemma":0.002461341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059554,"about_ca_topic_score_gemma":0.09410647,"domain_scores_codex":[0.9981157,0.000595284,0.000183048,0.0004410373,0.0004255002,0.0002395501],"domain_scores_gemma":[0.9917473,0.00496641,0.001446215,0.0005090074,0.001149124,0.000181888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004321578,0.0000493724,0.7307612,0.001221901,0.0006125336,0.0005189154,0.05249383,0.005384447,0.0006355423,0.04055044,0.006324129,0.1610155],"study_design_scores_gemma":[0.000009957215,0.00004881275,0.9092919,0.0005573246,0.0001867127,0.0001263674,0.02479233,0.001510669,0.0005979195,0.003716431,0.05911706,0.00004458333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394763,0.007939022,0.00844733,0.001880535,0.0001158696,0.00007044482,0.005633616,0.00008894662,0.03634793],"genre_scores_gemma":[0.9843732,0.003057809,0.003472537,0.0001014093,0.0000447875,0.0001241628,0.002230054,0.00006285009,0.006533145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1059554,"threshold_uncertainty_score":0.2106774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830933422914575,"score_gpt":0.2261597111641512,"score_spread":0.1978503769350055,"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."}}