{"id":"W2025687625","doi":"10.1115/imece2009-10416","title":"Temperature Measurement in High Speed Cylindrical-Plunge Grinding Using Thermocouple","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermocouple; Grinding; Temperature measurement; Materials science; Arc (geometry); Mechanical engineering; Grinding wheel; SIGNAL (programming language); Dissipation; Temperature gradient; Mechanics; Metallurgy; Acoustics; Composite material; Computer science; Engineering; Thermodynamics; Physics","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":[0.0005377749,0.0003688294,0.0004260474,0.0003569334,0.0003221689,0.0003564862,0.000653714,0.0006128662,0.0005482827],"category_scores_gemma":[0.00109461,0.0003868229,0.0002363076,0.0007558711,0.0006295989,0.0007866889,0.0002572894,0.0004285846,0.0001556375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920477,"about_ca_system_score_gemma":0.0002649808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005879917,"about_ca_topic_score_gemma":0.001148832,"domain_scores_codex":[0.9991184,0.0001210308,0.00002400851,0.0001980362,0.0005005134,0.00003800168],"domain_scores_gemma":[0.99928,0.0002507608,0.0001703027,0.0001012163,0.0001708045,0.00002680591],"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":[0.00008885238,0.00001695265,0.001222495,0.00008841907,0.000005179879,0.0000566963,0.0001184984,0.001116469,0.9835729,0.0002427566,0.0001044431,0.01336628],"study_design_scores_gemma":[0.00002042577,0.0005084348,0.02347016,0.00001236821,0.00001985003,0.0006186973,0.0001055571,0.02920333,0.9437095,0.0003611678,0.001921683,0.00004879045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7372392,0.001371349,0.2575362,0.0001373442,0.00007316971,0.00007742529,0.0001259256,0.0006800238,0.00275934],"genre_scores_gemma":[0.9295218,0.0003065007,0.06914902,0.00002087147,0.00001193829,0.00002008472,0.0000463268,0.00002968001,0.0008936569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000653714,"threshold_uncertainty_score":0.002844512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400515928728847,"score_gpt":0.276856642167506,"score_spread":0.2328514828802175,"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."}}