{"id":"W3210328838","doi":"10.1017/hpl.2021.59","title":"Time-of-flight methodologies with large-area diamond detectors for ion characterization in laser-driven experiments","year":2022,"lang":"en","type":"article","venue":"High Power Laser Science and Engineering","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Science and Higher Education of the Russian Federation; European Commission; EUROfusion; H2020 Euratom; Laserlab-Europe","keywords":"Detector; Diamond; Laser; Characterization (materials science); Time of flight; Ion; Optics; Semiconductor detector; Electromagnetic shielding; Physics; Sensitivity (control systems); Materials science; Nuclear physics; Nuclear engineering; Atomic physics; Electronic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040742,0.000703997,0.0004834846,0.0008084294,0.0002730286,0.0006953414,0.001097468,0.0008170463,0.00250392],"category_scores_gemma":[0.001034836,0.0003103252,0.0002796796,0.0006560017,0.0003782593,0.0007491144,0.0006282754,0.0005820938,0.0007108204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573694,"about_ca_system_score_gemma":0.0003847286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002875641,"about_ca_topic_score_gemma":0.0006480885,"domain_scores_codex":[0.9994298,0.0001358971,0.00002769097,0.0001471364,0.0002162801,0.00004334124],"domain_scores_gemma":[0.9990742,0.0003191231,0.0001722555,0.0001519886,0.0002419133,0.00004059203],"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":[0.000189719,0.00004907478,0.0006827255,0.0001712846,0.00002634378,0.0001159686,0.00005081136,0.001144945,0.976613,0.0009820514,0.0002771745,0.01969685],"study_design_scores_gemma":[0.00003125252,0.0003664988,0.002022228,0.00001992116,0.00002828429,0.0004670281,0.00008956477,0.05573352,0.9334943,0.001243743,0.006458412,0.00004524547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1472898,0.002274445,0.8450466,0.0001273416,0.0001266619,0.0002659859,0.0006415102,0.001793599,0.002434062],"genre_scores_gemma":[0.3738331,0.0007105424,0.6232327,0.00008082685,0.00003960337,0.0003241645,0.0003028707,0.0001755031,0.001300711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00250392,"threshold_uncertainty_score":0.008376479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436555103316133,"score_gpt":0.248953354311766,"score_spread":0.2345878032786047,"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."}}