{"id":"W2118712629","doi":"10.7202/011386ar","title":"Évaluation de critères d’information pour les modèles de séries chronologiques","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Physics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01484966,0.002123959,0.00236401,0.002621114,0.001137986,0.003257024,0.002019217,0.002139295,0.003691718],"category_scores_gemma":[0.06399511,0.0009702773,0.002640204,0.001406056,0.001064166,0.002820701,0.001794685,0.003003438,0.0007850208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781287,"about_ca_system_score_gemma":0.003172371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051071,"about_ca_topic_score_gemma":0.008700623,"domain_scores_codex":[0.9936351,0.00319086,0.0006973306,0.0007063234,0.001427967,0.0003425111],"domain_scores_gemma":[0.9371403,0.05132123,0.002253626,0.002611969,0.005983328,0.0006896288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001055207,0.0001938539,0.02612339,0.001413534,0.0009026618,0.0003985566,0.0006960942,0.8316683,0.007282893,0.01561642,0.001372354,0.1132768],"study_design_scores_gemma":[0.0001016185,0.0006499867,0.01356219,0.0005053154,0.000351222,0.0002273783,0.0004370607,0.9561739,0.0117046,0.01061352,0.005520386,0.000152782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3015074,0.003731766,0.6825199,0.001044466,0.0002043894,0.0004249,0.001446179,0.000956692,0.008164264],"genre_scores_gemma":[0.7581624,0.001492025,0.2332896,0.0001886718,0.00009143211,0.0006478152,0.002486679,0.0003480993,0.003293196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01484966,"threshold_uncertainty_score":0.07853347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1913798136079749,"score_gpt":0.3680148799961451,"score_spread":0.1766350663881703,"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."}}