{"id":"W3004488076","doi":"10.1063/1.5128661","title":"Charge breeding at GANIL: Improvements, results, and comparison with the other facilities","year":2020,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"TRIUMF","keywords":"Cyclotron; Breeder (animal); Upgrade; Nuclear engineering; Nuclear physics; Physics; Ion source; Range (aeronautics); Beamline; Beam (structure); Environmental science; Materials science; Computer science; Engineering; Plasma","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001249389,0.0005596923,0.000487268,0.001133769,0.0005503644,0.001252578,0.001203171,0.0004956722,0.002854477],"category_scores_gemma":[0.0009602152,0.000206935,0.0003724917,0.0008983202,0.0004496093,0.000771838,0.000978652,0.0005987583,0.001752049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016961,"about_ca_system_score_gemma":0.0008484057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005181431,"about_ca_topic_score_gemma":0.003853769,"domain_scores_codex":[0.9989132,0.000130004,0.00002491485,0.0002138851,0.0004853643,0.0002327049],"domain_scores_gemma":[0.9994362,0.00005136518,0.00005430099,0.0001206813,0.0002488534,0.00008847506],"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":[0.004492628,0.001192385,0.07368859,0.001605265,0.0001669285,0.001536674,0.001328902,0.01778952,0.3814096,0.004866985,0.02407212,0.4878505],"study_design_scores_gemma":[0.0004629486,0.007599528,0.2029569,0.0002626072,0.0002899867,0.004116841,0.001111115,0.03003155,0.5387198,0.001036578,0.2130361,0.0003761761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338165,0.00250884,0.01339001,0.0006999333,0.0001593323,0.0002986053,0.002173172,0.004597038,0.04235663],"genre_scores_gemma":[0.9616303,0.001056595,0.02432108,0.0002806341,0.00004657756,0.0001170474,0.004279297,0.000938947,0.007329586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005181431,"threshold_uncertainty_score":0.01230609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858382341576005,"score_gpt":0.2396792697633936,"score_spread":0.2110954463476336,"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."}}