{"id":"W2398602337","doi":"10.58079/ounp","title":"Introduction aux processus SARIMA","year":2012,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; AXA Research Fund","keywords":"Humanities; Political science; Philosophy","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":[0.003416334,0.0009313831,0.000777632,0.0007934659,0.0004899636,0.003823296,0.001056895,0.001101603,0.01305824],"category_scores_gemma":[0.01104687,0.000498386,0.001054821,0.001300931,0.001421489,0.003160599,0.001369605,0.004099219,0.003257668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000713814,"about_ca_system_score_gemma":0.0009586708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002147839,"about_ca_topic_score_gemma":0.001048367,"domain_scores_codex":[0.9971704,0.0007790356,0.0001764784,0.0007425103,0.001024642,0.0001068386],"domain_scores_gemma":[0.9935063,0.003611969,0.0006673034,0.001051589,0.001053027,0.0001097974],"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":[0.0004875606,0.0001191988,0.004025921,0.0009262869,0.0001454299,0.0006551647,0.001556407,0.04220018,0.02052484,0.6135157,0.01467443,0.3011689],"study_design_scores_gemma":[0.0001493214,0.0007327076,0.01185082,0.0006015804,0.0001849457,0.001019316,0.0007966462,0.208356,0.03361777,0.3348222,0.4076474,0.000221281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03843946,0.004867834,0.8992411,0.003240718,0.001643315,0.0001491879,0.001250529,0.00159076,0.04957705],"genre_scores_gemma":[0.52127,0.008733283,0.3452311,0.001980377,0.004913541,0.0006351454,0.002232822,0.001021313,0.1139825],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01305824,"threshold_uncertainty_score":0.04368418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08775580136754516,"score_gpt":0.3633037718711545,"score_spread":0.2755479705036094,"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."}}