{"id":"W2902540413","doi":"","title":"SAFETY ANALYSIS OF LOSS OF COOLANT ACCIDENT EVENTS FOR THE CANADIAN SUPERCRITICAL WATER-COOLED REACTOR","year":2016,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supercritical fluid; Coolant; Environmental science; Loss-of-coolant accident; Nuclear engineering; Accident (philosophy); Waste management; Engineering; Chemistry; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003074322,0.0005538213,0.0003395259,0.003964778,0.0007585132,0.0004984112,0.001062036,0.0002883982,0.002281589],"category_scores_gemma":[0.004582882,0.0001889264,0.0009195599,0.001786247,0.0002877125,0.0002452373,0.0003105667,0.0004412451,0.0002325061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.011919,"about_ca_system_score_gemma":0.01631303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7266043,"about_ca_topic_score_gemma":0.7724382,"domain_scores_codex":[0.9981622,0.0002155793,0.00006087669,0.00009071569,0.001351573,0.0001189795],"domain_scores_gemma":[0.9962883,0.0006520089,0.0003816839,0.00007468659,0.002545702,0.0000576006],"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":[0.002381791,0.000183829,0.09244625,0.003203629,0.001014774,0.0005048451,0.0006932603,0.4819042,0.01999298,0.02283457,0.03002069,0.3448192],"study_design_scores_gemma":[0.0002602118,0.001972294,0.3463399,0.00067238,0.002124461,0.0002719369,0.001537881,0.4656492,0.06216875,0.009593374,0.1090013,0.0004083511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8272284,0.01392603,0.05942455,0.002075889,0.0002231704,0.001580262,0.02387242,0.0009725087,0.0706968],"genre_scores_gemma":[0.9652384,0.005401388,0.01456961,0.0001019525,0.00003390328,0.0001506698,0.004954832,0.00004609079,0.009503139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2733957,"threshold_uncertainty_score":0.5500115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563325011562083,"score_gpt":0.3708371464188642,"score_spread":0.2952038963032433,"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."}}