{"id":"W2525020197","doi":"10.1002/cjce.22700","title":"Reactor dynamics investigation based on calorimetric data","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Isothermal process; Nuclear engineering; Robustness (evolution); Control theory (sociology); Thermodynamics; Chemical reactor; Thermal; Consistency (knowledge bases); Continuous stirred-tank reactor; Temperature control; Heat transfer; Process engineering; Materials science; Computer science; Engineering; Chemistry; Physics; Chemical engineering; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009003888,0.0007240322,0.001020418,0.001232414,0.0004211816,0.0006673005,0.0006705981,0.0004428078,0.002404096],"category_scores_gemma":[0.001759077,0.0003625754,0.000382312,0.001077879,0.0004578079,0.0006434495,0.0004918543,0.001121998,0.0006500699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007405363,"about_ca_system_score_gemma":0.0007114564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379568,"about_ca_topic_score_gemma":0.002261031,"domain_scores_codex":[0.9993661,0.000052688,0.0000370799,0.0001451287,0.0003494882,0.00004956268],"domain_scores_gemma":[0.9993661,0.0002814072,0.00005229458,0.00008198239,0.0001976212,0.00002053387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003075269,0.0001011449,0.00274798,0.0004408854,0.00003466094,0.0001202291,0.0003710859,0.01725244,0.9552415,0.001158185,0.0004144111,0.02180988],"study_design_scores_gemma":[0.00001998847,0.0001712189,0.007771295,0.00002503451,0.00003398406,0.0001035975,0.000105941,0.1270762,0.8600171,0.0004270484,0.00419172,0.00005682094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393913,0.001329339,0.2443964,0.0001817693,0.00009044207,0.0005305406,0.00416585,0.002515551,0.007398793],"genre_scores_gemma":[0.9610737,0.001008477,0.03296077,0.00003763266,0.00001288919,0.0004756493,0.001224202,0.0002483246,0.002958304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002404096,"threshold_uncertainty_score":0.008042514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060526138810131,"score_gpt":0.2054243999852098,"score_spread":0.1848191385971085,"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."}}