{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002640669,0.0002708007,0.0003294691,0.0003337774,0.0007929506,0.0005266749,0.0008979305,0.0001726987,0.009447903],"category_scores_gemma":[0.001646353,0.0002292509,0.0001492358,0.001370036,0.0002097278,0.0151831,0.0002465332,0.0002784059,0.007919198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210407,"about_ca_system_score_gemma":0.000117735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003024564,"about_ca_topic_score_gemma":0.00007884412,"domain_scores_codex":[0.9963115,0.0001583971,0.0008668512,0.0006967615,0.001407936,0.0005585715],"domain_scores_gemma":[0.9969872,0.0003244292,0.0004766174,0.0009650603,0.0009197298,0.0003269904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003671836,0.0003305055,0.000581218,0.000009896378,0.00001400854,0.000001546269,0.0001036097,0.00005270293,0.0008492944,0.463738,0.4987658,0.03551674],"study_design_scores_gemma":[0.0003017299,0.0001030453,0.01880648,0.00002017876,0.00002948816,0.00008520463,0.0002314606,0.0003229603,0.007454175,0.04281218,0.9294637,0.0003693879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0746465,0.0008231999,0.189868,0.5106549,0.009397694,0.00360088,0.0006394468,0.002010371,0.208359],"genre_scores_gemma":[0.9639652,0.00002966765,0.01268265,0.008320804,0.004745943,0.0006208212,0.0004655566,0.00003673007,0.009132598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8893187,"threshold_uncertainty_score":0.998591,"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."}}