{"id":"W2807163255","doi":"10.1002/fuce.201800025","title":"Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System","year":2018,"lang":"en","type":"article","venue":"Fuel Cells","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Vehicle Technologies (Canada); Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Robustness (evolution); Computer science; Algorithm; Fuel cells; Stack (abstract data type); Identification (biology); Online model; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002065475,0.0001534635,0.0004784956,0.0003806184,0.0000172605,0.00002641769,0.000156972,0.0001012862,0.0001455598],"category_scores_gemma":[0.000001651091,0.0001426634,0.00009425651,0.00088445,0.00005363394,0.00007145735,0.00002463062,0.00009108127,0.0001779479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007051848,"about_ca_system_score_gemma":0.00001037146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464631,"about_ca_topic_score_gemma":0.0001440021,"domain_scores_codex":[0.9988614,0.00005248877,0.0005397448,0.000201292,0.0001478557,0.0001971958],"domain_scores_gemma":[0.9994135,0.00003841179,0.0001173965,0.0002811327,0.00009890128,0.00005065424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003078817,0.0003316607,0.0002451678,0.005604221,0.0009268788,0.00001886342,0.006051986,0.2801041,0.7057253,0.00008198276,0.0007791566,0.00009993143],"study_design_scores_gemma":[0.0007678097,0.00005070808,0.001929503,0.00009662008,0.0005905093,0.000001134902,0.0007689554,0.6620483,0.33172,0.00005470252,0.001655081,0.0003167167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932017,0.004773946,0.001315425,0.000007297151,0.002040962,0.000421118,0.0003484194,0.0002381666,0.0588377],"genre_scores_gemma":[0.9978369,0.0003854689,0.001232437,0.00000445526,0.0001072064,0.00000769401,0.00009752482,0.00001695636,0.0003112901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819442,"threshold_uncertainty_score":0.5817646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493760809555772,"score_gpt":0.2553004301096134,"score_spread":0.2403628220140557,"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."}}