{"id":"W2519536612","doi":"10.1088/0029-5515/56/12/126010","title":"Developing and validating advanced divertor solutions on DIII-D for next-step fusion devices","year":2016,"lang":"en","type":"article","venue":"Nuclear Fusion","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Department of Energy","keywords":"Divertor; DIII-D; Nuclear engineering; Fusion power; Plasma; Tokamak; Computer science; Magnetic confinement fusion; Systems engineering; Nuclear physics; Physics; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001832595,0.0001357786,0.0001314302,0.00007426046,0.0005685171,0.00007575998,0.0001388847,0.0000373451,0.01604584],"category_scores_gemma":[0.00004226552,0.00009660254,0.00005118982,0.00008860521,0.00003979846,0.00006968528,0.0003309759,0.00006822327,0.00009130649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001781555,"about_ca_system_score_gemma":0.00003417108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009820401,"about_ca_topic_score_gemma":0.00002510001,"domain_scores_codex":[0.9989207,0.00003860196,0.0001900526,0.0003077026,0.0002181919,0.0003247087],"domain_scores_gemma":[0.9993125,0.0002390635,0.00008088248,0.0001845211,0.0000915628,0.00009142973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000051538,0.00003548412,0.000746664,0.00001970557,0.00000717362,2.750402e-7,0.00007226194,4.945455e-7,0.09937764,0.01179082,0.002131524,0.8857664],"study_design_scores_gemma":[0.003169984,0.0004452253,0.022068,0.0006766309,0.00002832099,6.479085e-7,0.001508115,0.003739732,0.004414534,0.0008791502,0.9625608,0.0005088191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697596,0.00003262961,0.006435147,0.006889381,0.0001753402,0.0007757965,0.0000375216,0.00006986345,0.0158247],"genre_scores_gemma":[0.9889995,0.00004205699,0.008444951,0.0002052672,0.0001817285,0.00005002723,0.00001614962,0.00002850876,0.002031801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9604293,"threshold_uncertainty_score":0.9848536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04039868759755001,"score_gpt":0.2869835403761037,"score_spread":0.2465848527785537,"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."}}