{"id":"W2050008357","doi":"10.1088/0029-5515/47/6/s04","title":"Chapter 4: Power and particle control","year":2007,"lang":"en","type":"article","venue":"Nuclear Fusion","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":1069,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of Toronto","funders":"","keywords":"Plasma; Fusion power; Divertor; Nuclear engineering; Materials science; Enhanced Data Rates for GSM Evolution; Nuclear physics; Fusion; Particle (ecology); Nuclear fusion; Tokamak; Physics; Atomic physics; Computer science","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":[0.0002049159,0.00005910128,0.00006319123,0.00002331771,0.00009055953,0.00002861125,0.00005172301,0.00001678785,0.2408353],"category_scores_gemma":[0.000003856558,0.00005138812,0.0000247038,0.00003851389,0.00002874068,0.00001365496,0.00006614479,0.00007185993,0.0002572774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001442222,"about_ca_system_score_gemma":0.000003419449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001259359,"about_ca_topic_score_gemma":0.000007240777,"domain_scores_codex":[0.9994346,0.000009308357,0.0001017684,0.0001250304,0.0001425294,0.0001867129],"domain_scores_gemma":[0.999697,0.00003363807,0.00002101699,0.0001199501,0.00002972833,0.00009864099],"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":[0.0000984957,0.0000950932,0.02091701,0.000003301762,0.00001205303,0.000005527319,0.0003162584,3.138978e-7,0.1230467,0.05363502,0.002424445,0.7994458],"study_design_scores_gemma":[0.002082187,0.0002007036,0.2367289,0.00001413798,0.00001210336,9.060796e-7,0.0009721086,0.0019299,0.002355046,0.0003630909,0.7551364,0.0002045095],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8057734,0.00001274732,0.0002413264,0.001115441,0.00004414329,0.0001269178,0.000001973006,0.00001814915,0.1926659],"genre_scores_gemma":[0.997744,0.000001895259,0.00008886212,0.0001865125,0.00005296482,0.00000116533,7.262303e-7,0.000008155684,0.001915729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7992413,"threshold_uncertainty_score":0.7598587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006377744046825287,"score_gpt":0.2328388471109463,"score_spread":0.226461103064121,"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."}}