{"id":"W7030118770","doi":"","title":"Method and Implementation of Geometric Optimization and Salt Selection of Molten Salt Reactors.","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering; McMaster University","keywords":"Probabilistic logic; Scope (computer science); Modularity (biology); Molten salt; Heat exchanger; Selection (genetic algorithm); Molten salt reactor; Power (physics); Cabin pressurization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001204018,0.001078733,0.0007571555,0.0007569795,0.0006109396,0.001096485,0.00232934,0.001082322,0.02003583],"category_scores_gemma":[0.002012263,0.0006119066,0.000947332,0.0006462837,0.0005055059,0.0007898198,0.001372854,0.0012238,0.005095741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006053342,"about_ca_system_score_gemma":0.001748243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532059,"about_ca_topic_score_gemma":0.003191564,"domain_scores_codex":[0.999256,0.0001252743,0.00004442933,0.0001326177,0.0003742019,0.00006753628],"domain_scores_gemma":[0.9993839,0.0001808546,0.00005337239,0.0001283478,0.0002231114,0.0000303833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002615453,0.0003271393,0.002833757,0.0009507449,0.0001784373,0.0004636168,0.0002647515,0.4041814,0.03679422,0.1176137,0.01878855,0.4173422],"study_design_scores_gemma":[0.00007192857,0.000105709,0.00029211,0.00003232461,0.00002069213,0.0001365217,0.00003706848,0.9370294,0.01258495,0.01196069,0.03770084,0.00002778782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00215149,0.00009781471,0.9890953,0.00006343418,0.00006945296,0.0002008837,0.0001756928,0.002519076,0.005626843],"genre_scores_gemma":[0.0427916,0.0001236837,0.9488729,0.00006043343,0.00002185471,0.0005981319,0.0005173659,0.0008268243,0.006187129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02003583,"threshold_uncertainty_score":0.06702656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007712751788159025,"score_gpt":0.2161795428078498,"score_spread":0.2084667910196908,"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."}}