{"id":"W2013843037","doi":"10.5402/2012/297863","title":"Size Control of Gold Nanoparticles Synthesized by Laser Ablation in Liquid Media","year":2012,"lang":"en","type":"article","venue":"ISRN Nanotechnology","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Laser ablation synthesis in solution; Colloidal gold; Zeta potential; Laser ablation; Sodium citrate; Nanoparticle; Salt (chemistry); Aqueous solution; Materials science; Laser; Ablation; Chemical engineering; Analytical Chemistry (journal); Chemistry; Nanotechnology; Inorganic chemistry; Chromatography; Optics; Laser power scaling; Organic chemistry; X-ray laser","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004248005,0.0001998861,0.0004328373,0.0002078868,0.000020358,0.000008399181,0.0002415471,0.0003669168,0.0001347088],"category_scores_gemma":[0.001016254,0.0002002913,0.00005940125,0.0004064724,0.0001424938,0.000323661,0.0000347897,0.0001718906,0.0001367046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008159597,"about_ca_system_score_gemma":0.00001436057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001896794,"about_ca_topic_score_gemma":0.0000604341,"domain_scores_codex":[0.9984295,0.00008056669,0.0005595674,0.0001771604,0.0001925012,0.0005607166],"domain_scores_gemma":[0.9983354,0.001076014,0.0001020244,0.000360463,0.00004476813,0.00008128793],"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":[0.00009404618,0.0001392565,0.0054143,0.00002065266,0.00003391183,0.000001716691,0.0001278029,0.0008826093,0.9891313,0.0005337454,0.000365278,0.003255325],"study_design_scores_gemma":[0.001054808,0.00004702189,0.001839242,0.00002781242,0.00002687088,0.000004267371,0.00006989476,0.001626541,0.9924597,0.0002413177,0.002397737,0.0002047876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967815,0.0007993554,0.0007764094,0.0005498235,0.0002030543,0.0002373433,0.00003519058,0.000498001,0.0001193158],"genre_scores_gemma":[0.9989427,0.00008997723,0.0007505708,0.0000462254,0.00003593936,0.00006772148,0.00000266304,0.00004564279,0.00001858044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003575057,"threshold_uncertainty_score":0.816764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007086819531509038,"score_gpt":0.200600315409017,"score_spread":0.193513495877508,"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."}}