{"id":"W7025430953","doi":"","title":"Une méthode d'inférence bayésienne pour les modèles espace-état affines faiblement identifiés appliquée à une stratégie d'arbitrage statistique de la dynamique de la structure à terme des taux d'intérêt","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Agrégation; Term (time)","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":[0.006265447,0.002241866,0.002014522,0.0022101,0.002261854,0.005378478,0.002094874,0.002682038,0.03491138],"category_scores_gemma":[0.02002883,0.0008674143,0.002568923,0.002956065,0.004602032,0.006052933,0.00435165,0.005919017,0.006720051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005761093,"about_ca_system_score_gemma":0.003892483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321391,"about_ca_topic_score_gemma":0.01753799,"domain_scores_codex":[0.9961597,0.00105768,0.000159997,0.0009124346,0.001496525,0.0002136801],"domain_scores_gemma":[0.9930726,0.003247175,0.0005173387,0.001240703,0.001658328,0.0002638991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009963573,0.00003143314,0.001255517,0.0001173582,0.00003563803,0.0001441817,0.0003159428,0.003210394,0.002667708,0.9138079,0.0137794,0.06453487],"study_design_scores_gemma":[0.00007423166,0.00009198517,0.004800494,0.0001983088,0.0000585761,0.0006136741,0.000224539,0.0882422,0.008979266,0.6575521,0.2390666,0.00009804861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02684754,0.007286607,0.81365,0.01612548,0.003146277,0.0001859868,0.001478315,0.0008330057,0.1304469],"genre_scores_gemma":[0.2871026,0.009288101,0.2919927,0.002589104,0.003556411,0.0005786005,0.001933452,0.001493686,0.4014653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03491138,"threshold_uncertainty_score":0.1167902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003915911871716303,"score_gpt":0.1857657997524853,"score_spread":0.181849887880769,"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."}}