{"id":"W6939629512","doi":"10.6084/m9.figshare.20029451.v1","title":"Trending Integrated Leakage-Rate Test Results","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Licensee; Leakage (economics); Test (biology); Leak; Hydrostatic test; Leak detection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.004066894,0.0006853378,0.0005854024,0.004629764,0.0006699057,0.001795197,0.001648258,0.0007156736,0.004684688],"category_scores_gemma":[0.009280385,0.0003364187,0.0004562915,0.00300217,0.0003969458,0.001755996,0.0009806289,0.000580987,0.001723657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678752,"about_ca_system_score_gemma":0.001795533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986029,"about_ca_topic_score_gemma":0.04977088,"domain_scores_codex":[0.9946256,0.0003589313,0.0003512583,0.0004819295,0.003833979,0.0003482181],"domain_scores_gemma":[0.9891145,0.001173836,0.001015653,0.000666311,0.007831851,0.0001978071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001481489,0.000376191,0.1834777,0.0006943161,0.0001304459,0.0008615009,0.00216268,0.01414779,0.2602376,0.004144164,0.007304615,0.5249815],"study_design_scores_gemma":[0.0001031933,0.00308364,0.2809394,0.0003673906,0.0004227947,0.002098955,0.002847496,0.05876241,0.5967319,0.002616807,0.05151397,0.0005120584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4948095,0.001104881,0.4017504,0.0005336638,0.0002947692,0.001113099,0.005300837,0.01409953,0.08099326],"genre_scores_gemma":[0.8152789,0.0005940147,0.164584,0.000190451,0.00003216028,0.0002296721,0.002281633,0.0005829728,0.01622616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01986029,"threshold_uncertainty_score":0.03948939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316276258651827,"score_gpt":0.2383321543438369,"score_spread":0.2151693917573186,"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."}}