{"id":"W4307626618","doi":"10.1063/5.0101719","title":"Measurements of multiple heat flux components at the divertor target by using surface eroding thermocouples (invited)","year":2022,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Department of Energy","keywords":"Divertor; Thermocouple; Heat flux; Materials science; Flux (metallurgy); Tungsten; Mechanics; Atomic physics; Heat transfer; Nuclear engineering; Plasma; Tokamak; Physics; Nuclear physics; Composite material","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":[0.0003521751,0.0004713464,0.000373727,0.0006050928,0.000327056,0.0005967697,0.0004523973,0.0003856841,0.00145282],"category_scores_gemma":[0.0008267995,0.0003716396,0.0002440285,0.0003817682,0.0004855054,0.0004890845,0.0006653678,0.0007154022,0.0002676928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005145709,"about_ca_system_score_gemma":0.0002760587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005983693,"about_ca_topic_score_gemma":0.001102092,"domain_scores_codex":[0.9996372,0.00004167012,0.00001662719,0.00008976418,0.0001739512,0.00004067107],"domain_scores_gemma":[0.9995845,0.0001404453,0.00004989718,0.00006587458,0.0001293673,0.00002987905],"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":[0.000202604,0.00001980909,0.004754558,0.00008151469,0.00001228033,0.000112388,0.0002627106,0.00119787,0.9823384,0.0003273402,0.0002069243,0.01048353],"study_design_scores_gemma":[0.000009682347,0.000108877,0.009554667,0.000008172519,0.00001099103,0.0001702357,0.0001305784,0.008630569,0.9798075,0.0001131777,0.001434466,0.00002112809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365011,0.0002050113,0.05854203,0.00007028518,0.00005438292,0.00009540542,0.0003678429,0.0005215608,0.003642382],"genre_scores_gemma":[0.9471405,0.0001690543,0.04930056,0.00005356796,0.00001370996,0.0001421372,0.0002187171,0.00009552409,0.002866233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00145282,"threshold_uncertainty_score":0.004860222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05790155538793369,"score_gpt":0.2828980873463671,"score_spread":0.2249965319584334,"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."}}