{"id":"W4406733695","doi":"10.1088/1361-6633/adedb3","title":"Laser-induced plasma formation and cavitation in water: from nanoeffects to extreme states of matter","year":2025,"lang":"en","type":"preprint","venue":"Reports on Progress in Physics","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sandia National Laboratories; Air Force Office of Scientific Research; U.S. Air Force; Bundesministerium für Wirtschaft und Technologie; Université de Sherbrooke","keywords":"Cavitation; Plasma; Laser; State of matter; Atomic physics; Environmental science; Physics; Mechanics; Nuclear physics; Optics; Condensed matter physics","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":[0.00007563092,0.0001367994,0.00009997569,0.0002229773,0.0001395941,0.0001925691,0.0001661105,0.0001373258,0.001135082],"category_scores_gemma":[0.000214227,0.00009436205,0.000104277,0.000167777,0.0003676993,0.0003227182,0.000280874,0.0002198607,0.000108125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000299819,"about_ca_system_score_gemma":0.00009928007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009278207,"about_ca_topic_score_gemma":0.000597207,"domain_scores_codex":[0.999945,0.00000422398,0.00000190814,0.000008263136,0.00002103076,0.00001963106],"domain_scores_gemma":[0.9999232,0.00003117348,0.00002056568,0.000005303605,0.00001199671,0.000007580576],"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":[0.00007469161,0.00000854338,0.002161887,0.00005268223,0.000003636228,0.00008869942,0.00008353201,0.0005833474,0.993234,0.0002190496,0.00002060997,0.00346932],"study_design_scores_gemma":[0.000008571938,0.0002444708,0.0347576,0.0000117885,0.000007683008,0.0003287391,0.0002460114,0.01349273,0.9490305,0.0007913656,0.001067014,0.00001348733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944333,0.0005667447,0.004257312,0.0000281203,0.000001730661,0.00001095785,0.00005380417,0.00002764951,0.0006202518],"genre_scores_gemma":[0.9985506,0.0001772359,0.0009275167,0.00000905654,0.000001451038,0.000008459725,0.00003005226,0.000006084194,0.0002896329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135082,"threshold_uncertainty_score":0.003797233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913155801159973,"score_gpt":0.2507133004922251,"score_spread":0.2315817424806254,"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."}}