{"id":"W4408696176","doi":"10.1364/lac.2024.lw4b.3","title":"Laser-Generated Protons for Material Science","year":2024,"lang":"en","type":"article","venue":"","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Laser; Computer science; Engineering physics; Materials science; Physics; Optics","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":[0.0004353504,0.0005164908,0.0002615741,0.0003654701,0.0006806127,0.0009877613,0.000470333,0.001287491,0.0202506],"category_scores_gemma":[0.0003782279,0.0001866885,0.0002284672,0.0003551361,0.0005127982,0.001248846,0.001242495,0.001748132,0.007986397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000704167,"about_ca_system_score_gemma":0.0003969801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001754191,"about_ca_topic_score_gemma":0.0003152168,"domain_scores_codex":[0.999792,0.00002799079,0.000005867663,0.00003648265,0.0001104469,0.0000271243],"domain_scores_gemma":[0.9998817,0.0000357198,0.00001207559,0.00001680539,0.00002709111,0.00002664517],"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":[0.0004619787,0.00009083124,0.0002394952,0.001342755,0.00003841627,0.0004758986,0.0002262616,0.0006083394,0.666619,0.1031921,0.07650721,0.1501978],"study_design_scores_gemma":[0.00007277205,0.0002077391,0.0003685029,0.0001266077,0.00001604723,0.0005632553,0.00008839823,0.001361473,0.236944,0.01478982,0.7454194,0.00004200095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09663616,0.3121648,0.179282,0.03005943,0.02488944,0.000475774,0.003155629,0.007224969,0.3461117],"genre_scores_gemma":[0.5012424,0.1482869,0.1228066,0.008421753,0.00674577,0.0008114845,0.002154554,0.001523878,0.2080067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0202506,"threshold_uncertainty_score":0.06774497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628938862094369,"score_gpt":0.2501396318846552,"score_spread":0.2338502432637115,"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."}}