{"id":"W2091091221","doi":"10.1063/1.4819595","title":"Quantifying the calibration uncertainty attributable to thermocouple inhomogeneity","year":2013,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermocouple; Thermoelectric effect; Calibration; Seebeck coefficient; Materials science; Temperature measurement; Homogeneity (statistics); Thermal; Mechanics; Temperature gradient; Position (finance); Computational physics; Optics; Thermodynamics; Composite material; Physics; 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":[0.004750267,0.0008212391,0.0004552547,0.001313096,0.0006021357,0.001008602,0.0009109539,0.0009601534,0.001145026],"category_scores_gemma":[0.02065128,0.0005253084,0.0003497964,0.001484239,0.0009763458,0.001253343,0.001326886,0.0008914792,0.0002486648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008841055,"about_ca_system_score_gemma":0.0005033363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319933,"about_ca_topic_score_gemma":0.001662102,"domain_scores_codex":[0.995101,0.001355142,0.000207141,0.00103372,0.002042037,0.0002610375],"domain_scores_gemma":[0.9897059,0.005750089,0.0009033905,0.002279193,0.001283387,0.0000779395],"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":[0.001004053,0.000304775,0.04953383,0.0004217426,0.0004953142,0.000443084,0.0008956434,0.1292643,0.6832408,0.01196979,0.001063579,0.1213633],"study_design_scores_gemma":[0.00002780388,0.0003422026,0.04120649,0.00007616749,0.0001727126,0.0007435891,0.0002459427,0.2160906,0.7271664,0.008632431,0.005141887,0.0001538096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5741708,0.001315857,0.4155042,0.0004171701,0.0001146794,0.0001557803,0.0005833305,0.001147872,0.006590227],"genre_scores_gemma":[0.9624081,0.0003016578,0.03606679,0.000113365,0.00002122461,0.00008547091,0.000229721,0.0001745841,0.0005991239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004750267,"threshold_uncertainty_score":0.02512211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05649312623863707,"score_gpt":0.2849805819460666,"score_spread":0.2284874557074296,"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."}}