{"id":"W1972992216","doi":"10.1520/jai102692","title":"Temperature Calibration Techniques for TMF Testing","year":2010,"lang":"en","type":"article","venue":"Journal of ASTM International","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Calibration; Materials science; Nuclear engineering; Reliability engineering; Engineering; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001974957,0.0009900706,0.0004855155,0.001656359,0.0004775936,0.0005728828,0.00153719,0.001013883,0.005453745],"category_scores_gemma":[0.006377542,0.0005479228,0.0004755065,0.001178017,0.0005750012,0.001299359,0.0009270833,0.001884854,0.001880636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005899935,"about_ca_system_score_gemma":0.0004251934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004779657,"about_ca_topic_score_gemma":0.0006245319,"domain_scores_codex":[0.996462,0.000580027,0.0001313673,0.0005226183,0.002198907,0.0001050472],"domain_scores_gemma":[0.9949438,0.001108308,0.0007590395,0.0009906011,0.002132715,0.00006554062],"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":[0.0001500748,0.0001082652,0.00160423,0.0004773265,0.00003146134,0.000147305,0.0002131535,0.003976775,0.7481942,0.002728632,0.002094768,0.2402738],"study_design_scores_gemma":[0.0000401825,0.000540864,0.01005712,0.0001512503,0.00004692782,0.001884551,0.0001197593,0.03719758,0.9076779,0.002036842,0.04011985,0.000127178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03315594,0.003052155,0.9561223,0.000263838,0.0003669237,0.0002579812,0.0001771934,0.002073856,0.004529761],"genre_scores_gemma":[0.3754471,0.002231866,0.6135801,0.0003123338,0.0001744852,0.0004605767,0.0003482095,0.0007065775,0.006738691],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005453745,"threshold_uncertainty_score":0.01824456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449082767803776,"score_gpt":0.2746632163499278,"score_spread":0.2501723886718901,"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."}}