{"id":"W2237961774","doi":"10.1080/00223131.2014.973460","title":"Determining water chemistry conditions in nuclear reactor coolants","year":2014,"lang":"en","type":"article","venue":"Journal of Nuclear Science and Technology","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Atomic Energy Agency; International Atomic Energy Agency; CANDU Owners Group; University of Lethbridge","keywords":"Coolant; Nuclear engineering; Water chemistry; Nuclear reactor; Chemistry; Radiochemistry; Environmental science; Environmental chemistry; Nuclear physics; Physics; 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":[0.001036593,0.00008441404,0.0002124505,0.0002309573,0.0001734499,0.000141863,0.0004453138,0.00009518536,0.0004900516],"category_scores_gemma":[0.000253403,0.00005561431,0.00001695052,0.0002002644,0.0008149005,0.0004307645,0.0001850254,0.0001598095,0.0000916531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003483786,"about_ca_system_score_gemma":0.00003838921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005515816,"about_ca_topic_score_gemma":9.942569e-7,"domain_scores_codex":[0.9990029,0.00002242396,0.0002978978,0.0001655873,0.000228067,0.0002831016],"domain_scores_gemma":[0.999447,0.00001530235,0.0001381404,0.0001576235,0.0001702437,0.00007162931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001524217,0.0000189019,0.0001693397,0.00001024313,0.000001029254,0.00001475491,0.0002291523,7.882156e-7,0.9976745,0.0004224172,0.0001324463,0.001311137],"study_design_scores_gemma":[0.0008716757,0.0005735526,0.003584447,0.0001921331,0.00001529771,0.001323701,0.001313307,0.0007169168,0.9237083,0.003331111,0.06407017,0.0002994308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975859,0.00001281821,6.70133e-7,0.001490188,0.0002234523,0.00002797252,0.000001353668,0.0000327403,0.0006249145],"genre_scores_gemma":[0.998895,0.00002420029,0.000812489,0.0001876883,0.00005450645,3.817086e-7,6.778053e-8,0.00001179701,0.000013831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07396629,"threshold_uncertainty_score":0.5365722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00863463503084896,"score_gpt":0.2211605646491202,"score_spread":0.2125259296182712,"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."}}