{"id":"W4200015269","doi":"10.3390/instruments5040038","title":"Towards High-Repetition-Rate Fast Neutron Sources Using Novel Enabling Technologies","year":2021,"lang":"en","type":"article","venue":"Instruments","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fusion Energy Sciences; National Nuclear Security Administration; National Science Foundation","keywords":"Neutron; Beryllium; Neutron source; Neutron flux; Nuclear engineering; Laser; Inertial confinement fusion; Fusion; Repetition (rhetorical device); Optics; Fusion power; Materials science; Physics; Nuclear physics; Engineering; Plasma","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":[0.0009379265,0.0004246951,0.0003863743,0.000376679,0.0002855636,0.0009679027,0.0006446141,0.0006101959,0.00150057],"category_scores_gemma":[0.0004969877,0.0002916313,0.0002036459,0.0003132653,0.0004410688,0.001421612,0.001026053,0.001008592,0.0009406888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005660499,"about_ca_system_score_gemma":0.0004293716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002443621,"about_ca_topic_score_gemma":0.0004165191,"domain_scores_codex":[0.9996586,0.00003567847,0.00001503179,0.00005406069,0.000192716,0.00004401625],"domain_scores_gemma":[0.9996852,0.00006492939,0.00009640483,0.00004431094,0.00006613377,0.00004303144],"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":[0.0001401743,0.00004384789,0.0004131295,0.0002667505,0.00001474611,0.000160685,0.0001814677,0.001817388,0.9575363,0.0203125,0.0005294352,0.01858362],"study_design_scores_gemma":[0.00002838874,0.0003559535,0.0008325271,0.00005834932,0.00001859447,0.0003627386,0.0000739091,0.01002783,0.9478188,0.003035405,0.037346,0.00004142546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5465086,0.01182171,0.4088546,0.001488651,0.0005161788,0.0002862425,0.0006281881,0.002073282,0.02782256],"genre_scores_gemma":[0.7518566,0.005950017,0.235652,0.0002106551,0.0001607757,0.0002331935,0.0004432033,0.0002484769,0.005245056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00150057,"threshold_uncertainty_score":0.005019903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854237328523925,"score_gpt":0.2546618306803921,"score_spread":0.2361194573951528,"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."}}