{"id":"W3082484965","doi":"","title":"Selection of dynamic model using analog data assimilation","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science; Selection (genetic algorithm); Data assimilation; Data modeling; Assimilation (phonology); Artificial intelligence; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003105611,0.000430482,0.0006029931,0.0003950084,0.0003367787,0.000895616,0.0004143471,0.0005830873,0.002912775],"category_scores_gemma":[0.001420887,0.0003020931,0.0004614741,0.0003851789,0.0002582946,0.0005629787,0.0005476886,0.0006729182,0.0004330338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329745,"about_ca_system_score_gemma":0.0005884988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004590047,"about_ca_topic_score_gemma":0.003787386,"domain_scores_codex":[0.9998686,0.00003275284,0.000006415775,0.00003753413,0.0000347446,0.00001997888],"domain_scores_gemma":[0.9997275,0.0001201591,0.00002253581,0.00004799508,0.00006143197,0.00002038991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000247468,0.00008645497,0.00190397,0.0001290632,0.00008120353,0.0001648549,0.00006803846,0.8293096,0.02371604,0.005776495,0.001694295,0.1368225],"study_design_scores_gemma":[0.000009005845,0.00001070169,0.0003979849,0.000002772431,0.000005713397,0.00001110188,0.000005196574,0.9961507,0.001928589,0.0009638605,0.0005087737,0.000005635041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1092588,0.0001994412,0.8835813,0.0002924519,0.0001621776,0.00005186673,0.0001784325,0.001031195,0.005244327],"genre_scores_gemma":[0.9252394,0.0001270602,0.07090762,0.00008353046,0.00005673858,0.00004178011,0.0002481285,0.0001022485,0.003193543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004590047,"threshold_uncertainty_score":0.009744227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154362215800176,"score_gpt":0.2524330565306324,"score_spread":0.2208894343726306,"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."}}