{"id":"W7125685501","doi":"10.1017/s0022377825100962","title":"Neural network reconstruction of the DIII-D tokamak plasma boundary using a reduced set of diagnostics","year":2025,"lang":"en","type":"article","venue":"Journal of Plasma Physics","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Fusion Energy Sciences; Office of Science; U.S. Department of Energy","keywords":"Tokamak; Artificial neural network; Electromagnetic coil; Displacement (psychology); Boundary (topology); Plasma; Feature (linguistics); Control theory (sociology); Loop (graph theory)","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":[0.000258131,0.0001311816,0.0003383958,0.00006666945,0.0001232051,0.00003505234,0.0003131742,0.00003830656,0.0008523462],"category_scores_gemma":[0.00005960137,0.0001003947,0.0002426101,0.000480033,0.0001711532,0.00005630021,0.0001588572,0.0003741266,6.444894e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001892624,"about_ca_system_score_gemma":0.0004931905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000826985,"about_ca_topic_score_gemma":0.000007599959,"domain_scores_codex":[0.9985275,0.0001193315,0.0006645511,0.0001035887,0.0003795145,0.0002055295],"domain_scores_gemma":[0.9981313,0.0003941765,0.0008035114,0.0002382203,0.0003822849,0.00005053244],"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":[0.0004238526,0.0004046396,0.08692647,0.0002044689,0.0006522555,0.000005154531,0.000480237,0.03216311,0.06376894,0.009139224,0.01888127,0.7869504],"study_design_scores_gemma":[0.01153019,0.00149156,0.05716731,0.004588972,0.001790554,0.00009291788,0.00551741,0.41665,0.4242249,0.03944529,0.03637198,0.001128897],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925772,0.00003954894,0.0006049228,0.0003989737,0.001034748,0.0001810183,0.00003401985,0.000002344583,0.00512721],"genre_scores_gemma":[0.9979056,0.00001535674,0.001143212,0.00001362934,0.0005998579,0.000001812499,0.000002357226,0.000008567903,0.0003096177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7858215,"threshold_uncertainty_score":0.9332593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865238325210054,"score_gpt":0.2762001395251026,"score_spread":0.2575477562730021,"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."}}