{"id":"W2062257318","doi":"10.1007/s00339-004-3081-4","title":"Femtosecond laser ablation of gold in water: influence of the laser-produced plasma on the nanoparticle size distribution","year":2005,"lang":"en","type":"article","venue":"Applied Physics A","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":203,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plasma; Laser ablation; Nanoparticle; Colloidal gold; Materials science; Particle (ecology); Laser; Femtosecond; Ultrapure water; Ablation; Particle size; Particle-size distribution; Dispersion (optics); Nanotechnology; Optics; Chemistry","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":[0.0002148584,0.0002016672,0.0002159049,0.0001001494,0.0002242694,0.0002494006,0.0001694696,0.000332505,0.001014585],"category_scores_gemma":[0.0005117196,0.0001799928,0.0001353902,0.0001157119,0.0003336113,0.0004456286,0.0001838713,0.0002929921,0.0001684689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004004851,"about_ca_system_score_gemma":0.0002315376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403518,"about_ca_topic_score_gemma":0.001380375,"domain_scores_codex":[0.9998901,0.00001324031,0.000005342772,0.00002821925,0.00003115307,0.00003199994],"domain_scores_gemma":[0.9997981,0.0001312606,0.00002347013,0.00001159959,0.00002146915,0.00001414188],"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":[0.0001039806,0.000006616596,0.0001007621,0.00002148331,0.000001856563,0.00003743302,0.00005134024,0.0001354334,0.9984806,0.00006786407,0.00002467164,0.0009678878],"study_design_scores_gemma":[0.000007086737,0.00004986848,0.0005105819,0.000001087149,0.000002241741,0.00002930661,0.00001815864,0.001207942,0.997886,0.00003711535,0.0002475953,0.000002995384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966282,0.0003733308,0.00182716,0.00006341953,0.00001439662,0.000009901815,0.00003517449,0.00002782741,0.001020583],"genre_scores_gemma":[0.9977875,0.0001981436,0.001090147,0.00001599338,0.000005551221,0.000008430218,0.00003146313,0.00001458593,0.0008480569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403518,"threshold_uncertainty_score":0.003394127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008118776769765171,"score_gpt":0.1874999429264319,"score_spread":0.1793811661566667,"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."}}