{"id":"W4405281511","doi":"10.1063/5.0221606","title":"Laser-driven betatron x rays for high-throughput imaging of additively manufactured materials","year":2024,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of Alberta","funders":"Lawrence Livermore National Laboratory; Fusion Energy Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Betatron; Throughput; Laser; Optics; Materials science; Particle accelerator; Physics; Nuclear physics; Computer science; Beam (structure)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006770881,0.0004290242,0.0003228967,0.0006887754,0.00016638,0.0006522493,0.0005415257,0.0005509172,0.001220374],"category_scores_gemma":[0.0003841075,0.0003289397,0.0002262533,0.0006997068,0.0002987079,0.000566326,0.0004506013,0.0006684602,0.0005794949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000561566,"about_ca_system_score_gemma":0.0002798885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002784642,"about_ca_topic_score_gemma":0.0007904585,"domain_scores_codex":[0.9996075,0.00006181698,0.00001537052,0.00007737615,0.0002164244,0.00002159328],"domain_scores_gemma":[0.999729,0.0001009491,0.00005126677,0.00002971471,0.00007646911,0.0000125353],"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":[0.00005172848,0.00002435356,0.0005693447,0.0003942729,0.00001496436,0.00006081993,0.00003910961,0.0007375629,0.9578108,0.001746348,0.000603298,0.03794739],"study_design_scores_gemma":[0.00002207605,0.0002279821,0.004635647,0.00007854814,0.0000294011,0.0005504877,0.00004543781,0.006243527,0.9470163,0.000728121,0.04039156,0.00003079993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.37072,0.1843222,0.4179909,0.001110897,0.0003550656,0.0002801988,0.0007083918,0.002302573,0.02220979],"genre_scores_gemma":[0.5892982,0.0722511,0.325034,0.000401918,0.0001648697,0.0003978085,0.0008278644,0.000411123,0.01121312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001220374,"threshold_uncertainty_score":0.004082561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290078515639279,"score_gpt":0.2805033758430936,"score_spread":0.2676025906867008,"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."}}