{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007036912,0.00006244952,0.00009771159,0.0001812588,0.00005316144,0.000103385,0.0006770512,0.00009886121,0.00001035484],"category_scores_gemma":[0.0007548499,0.00004904806,0.00006874319,0.00009775,0.00001898963,0.0005220657,0.00001563424,0.0002865419,0.000001573123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002165777,"about_ca_system_score_gemma":0.00006505879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001115439,"about_ca_topic_score_gemma":0.00000222992,"domain_scores_codex":[0.9991617,0.00001698793,0.000345655,0.00009582594,0.0002984929,0.0000814072],"domain_scores_gemma":[0.9986224,0.0001029223,0.0003794473,0.0001304285,0.0007330764,0.00003179677],"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":[0.00001015155,0.00003866351,0.003398791,0.000003314128,0.00002946942,0.000005966061,0.00005002142,0.000007831371,0.9520556,0.02667226,0.005862116,0.01186586],"study_design_scores_gemma":[0.000566329,0.0002810195,0.003428512,0.00008390251,0.000009027349,0.001029125,0.00002995432,0.01173955,0.9225467,0.009594194,0.05053502,0.0001566389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2146672,0.00003006077,0.7627223,0.01101343,0.008021943,0.0002566637,0.000005888028,0.0001632893,0.003119308],"genre_scores_gemma":[0.8000147,7.195759e-7,0.1989103,0.0001938614,0.0007150867,0.000004284896,8.929434e-7,0.000003966624,0.0001561919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5853475,"threshold_uncertainty_score":0.2000122,"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."}}