{"id":"W1505002646","doi":"10.5539/mas.v9n6p20","title":"Effect of Liquid Layer Thickness on the Ablation Efficiency and the Size-Control of Silver Colloids Prepared by Pulsed Laser Ablation","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Ablation; Fluence; Laser ablation; Particle size; Laser; Laser ablation synthesis in solution; Colloid; Particle (ecology); Analytical Chemistry (journal); Nanoparticle; Layer (electronics); Particle-size distribution; Transmission electron microscopy; Optics; Composite material; Nanotechnology; Laser power scaling; X-ray laser; Chromatography; Chemical engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003110144,0.0004324869,0.0002882946,0.0002264754,0.0001190346,0.0003558842,0.0002639201,0.0002927682,0.0004959634],"category_scores_gemma":[0.0006463289,0.0003455998,0.0001871905,0.0001757422,0.0002494253,0.0003294604,0.0002476677,0.0002924744,0.00015466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249162,"about_ca_system_score_gemma":0.0001736878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003617682,"about_ca_topic_score_gemma":0.0005375186,"domain_scores_codex":[0.9997638,0.00003498316,0.00002883067,0.00005829901,0.00007818452,0.00003587056],"domain_scores_gemma":[0.9996018,0.0001570277,0.00009950181,0.0000292915,0.0000815588,0.00003085431],"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":[0.0000289238,0.000004350239,0.00003445208,0.00001759528,0.000002393112,0.0000110975,0.00000967,0.00005746032,0.9994488,0.00001201474,0.000004233245,0.0003689633],"study_design_scores_gemma":[0.00000449512,0.00005598198,0.0003220423,0.00000170306,0.000006683652,0.00001331056,0.000004934946,0.0004690133,0.9989944,0.000007469954,0.0001170772,0.00000279127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957156,0.0006431857,0.002905456,0.00002477154,0.00001465691,0.00001696193,0.0000506779,0.00005185768,0.0005768862],"genre_scores_gemma":[0.9947489,0.0005372939,0.004010348,0.00002131742,0.000005925321,0.00002934975,0.00005781444,0.00003547762,0.0005536787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004959634,"threshold_uncertainty_score":0.001807809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008483557604331822,"score_gpt":0.2170090172234826,"score_spread":0.2085254596191508,"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."}}