{"id":"W2060107113","doi":"10.1016/j.ijhydene.2010.06.059","title":"Dynamic flowgraph modeling of process and control systems of a nuclear-based hydrogen production plant","year":2010,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen production; Process (computing); Computer science; Production (economics); Hydrogen; Process engineering; Chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002099319,0.0001137348,0.0002760835,0.000314238,0.00001783001,0.00001695727,0.0002076961,0.00007645017,0.000006865254],"category_scores_gemma":[0.00003501775,0.0001019095,0.000109668,0.00008082296,0.00003178531,0.0001355014,0.000006555392,0.0001443844,3.856666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002981169,"about_ca_system_score_gemma":0.0000353135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008860364,"about_ca_topic_score_gemma":0.0000608991,"domain_scores_codex":[0.9987651,0.00002657575,0.0006135934,0.00009274763,0.0004040434,0.00009799258],"domain_scores_gemma":[0.9991791,0.00002204888,0.0002871114,0.00009198575,0.0003567806,0.00006298544],"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":[0.0001144808,0.00003102763,0.00009939602,0.00004151162,0.0002856248,0.000007487696,0.00006214595,0.7154286,0.2832257,0.0001211858,0.000004495557,0.000578336],"study_design_scores_gemma":[0.0009200293,0.00006052586,0.00001446672,0.0001175475,0.00003715561,0.0003870967,0.00008131808,0.9691617,0.0287545,0.00007290356,0.0003067759,0.00008590769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943331,0.0005077302,0.003516312,0.00005385387,0.00137573,0.00005913636,0.00002615376,0.00002604123,0.0001019229],"genre_scores_gemma":[0.9997122,0.0000351419,0.00004338542,0.000011164,0.0001613805,0.000005135978,0.000003089833,0.00002325022,0.000005270257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2544712,"threshold_uncertainty_score":0.415575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003781126508925997,"score_gpt":0.2001536945202608,"score_spread":0.1963725680113348,"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."}}