{"id":"W2090384522","doi":"10.1590/s1413-70542004000500022","title":"Ajuste de modelos autorregressivos, na forma de modelos lineares dinâmicos, via inferência Bayesiana","year":2004,"lang":"pt","type":"article","venue":"Ciência e Agrotecnologia","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Statistics; Applied mathematics; Computer science; Mathematics","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":[0.003608901,0.00135998,0.001380524,0.001075507,0.0006721693,0.002659491,0.001888958,0.001523763,0.004142618],"category_scores_gemma":[0.01491903,0.001119312,0.001726266,0.001056515,0.0009634817,0.002618117,0.001378722,0.002459421,0.001005578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522013,"about_ca_system_score_gemma":0.002240648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01426293,"about_ca_topic_score_gemma":0.01424211,"domain_scores_codex":[0.9978539,0.0007450675,0.00009796927,0.0004673463,0.0006906313,0.0001449807],"domain_scores_gemma":[0.9945928,0.003515322,0.000473138,0.000618815,0.0006769018,0.0001229179],"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":[0.0002484111,0.0001315188,0.005109341,0.0003132959,0.0002113641,0.0001737952,0.0003457765,0.832119,0.009295338,0.03495382,0.001274848,0.1158234],"study_design_scores_gemma":[0.00001315548,0.00005666287,0.0008934296,0.00002772344,0.00003822884,0.0000472715,0.00002709406,0.9870728,0.001908877,0.008132755,0.001759167,0.00002292461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03635787,0.0004994451,0.9588481,0.0002797517,0.0000643373,0.00005271896,0.0001999762,0.0008280638,0.002869687],"genre_scores_gemma":[0.6709617,0.0009464119,0.3181828,0.0002203152,0.0000909754,0.0002564096,0.0006241602,0.0004000841,0.00831711],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01426293,"threshold_uncertainty_score":0.02835977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0678643903763438,"score_gpt":0.3666802169679995,"score_spread":0.2988158265916557,"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."}}