{"id":"W2149820305","doi":"10.1007/s11666-010-9497-9","title":"JTST Special Issue on “Reliability and Consistency in Thermal Spray”","year":2010,"lang":"en","type":"article","venue":"Journal of Thermal Spray Technology","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Reliability (semiconductor); Consistency (knowledge bases); Thermal spraying; Reliability engineering; Forensic engineering; Composite material; Computer science; Engineering; Thermodynamics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004863985,0.0002575085,0.0004474676,0.0004923812,0.00003847176,0.00002783551,0.0004533708,0.0004618949,0.000415379],"category_scores_gemma":[0.0002267271,0.0002324118,0.00009146801,0.0002885971,0.0002240274,0.0001649549,0.0000813815,0.001779365,0.00007298197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007769855,"about_ca_system_score_gemma":0.00002477611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003361609,"about_ca_topic_score_gemma":0.00003740909,"domain_scores_codex":[0.9986434,0.00002988213,0.0005674067,0.0001772961,0.000195115,0.0003869171],"domain_scores_gemma":[0.9991925,0.00009553387,0.0001359445,0.0004052575,0.00006668965,0.0001040553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001845168,0.0002394956,0.008851455,0.00007869226,0.0001093121,0.0003531254,0.0002633072,0.03012143,0.8838536,0.002575223,0.001006501,0.07236335],"study_design_scores_gemma":[0.006133385,0.002002288,0.1503003,0.0003482341,0.0001481646,0.001853021,0.0004212657,0.007094801,0.2922071,0.003011732,0.5345038,0.001975957],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842362,0.0001469253,0.00001937499,0.001048419,0.001775427,0.000126285,0.000003177217,0.0001863616,0.01245784],"genre_scores_gemma":[0.9960777,0.00003318464,0.002053903,0.00006313028,0.001664877,0.000002876147,2.7421e-7,0.00006688492,0.00003722175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5916465,"threshold_uncertainty_score":0.9477478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003537445370311094,"score_gpt":0.1982927625164909,"score_spread":0.1947553171461798,"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."}}