{"id":"W4255288089","doi":"10.1520/stp49309s","title":"Temperature Calibration Techniques for TMF Testing","year":2011,"lang":"en","type":"book-chapter","venue":"ASTM International eBooks","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Calibration; Computer science; Environmental science; 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":[0.0005180679,0.001051225,0.0005463879,0.001442336,0.0004905781,0.0006907808,0.001751252,0.0008519194,0.01477423],"category_scores_gemma":[0.001452267,0.0004742405,0.0004428971,0.001322129,0.0006219199,0.001540062,0.0007252106,0.001416241,0.005452315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004864837,"about_ca_system_score_gemma":0.0003888299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008814445,"about_ca_topic_score_gemma":0.001790261,"domain_scores_codex":[0.9989861,0.000075841,0.00003000226,0.00009440644,0.0007683242,0.00004531299],"domain_scores_gemma":[0.9992275,0.0001542662,0.00005921276,0.0001535656,0.0003883092,0.00001707586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000651247,0.00006293546,0.0004695202,0.0004667714,0.00001128836,0.000139113,0.0002366455,0.002439243,0.1961468,0.008606925,0.01954043,0.7718152],"study_design_scores_gemma":[0.00002342005,0.0004045324,0.004915724,0.0004616235,0.00004351965,0.004542376,0.0002580955,0.02564415,0.4949634,0.01251393,0.4561132,0.000116007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008810574,0.01223444,0.91016,0.000497025,0.0007106567,0.000141694,0.0003132041,0.003477222,0.06365515],"genre_scores_gemma":[0.1981354,0.01381792,0.6195924,0.0006412502,0.0004349792,0.0002563988,0.001311085,0.002192467,0.1636181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01477423,"threshold_uncertainty_score":0.04942471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05890019982901987,"score_gpt":0.2500959737674548,"score_spread":0.191195773938435,"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."}}