{"id":"W4245937153","doi":"10.32920/ryerson.14661432","title":"Synthesis Of Nanoparticle Networks By Femtosecond Laser Ablation Of Microparticles","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Microparticle; Laser ablation; Materials science; Nanoparticle; Ablation; Laser; Nanomaterials; Laser ablation synthesis in solution; Femtosecond; Alloy; Oxide; Nanotechnology; Optoelectronics; Chemical engineering; Optics; X-ray laser; Metallurgy; Laser power scaling","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":[0.00008505255,0.0001935945,0.0001523859,0.0001988702,0.0001444227,0.0002749253,0.0001541377,0.0002645025,0.000653071],"category_scores_gemma":[0.0001269601,0.00015716,0.0002069631,0.0001072374,0.0001373051,0.0002794304,0.0001822206,0.000264292,0.0003099059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000323002,"about_ca_system_score_gemma":0.0001414073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003248364,"about_ca_topic_score_gemma":0.0007006063,"domain_scores_codex":[0.9999261,0.000005497018,0.000004311598,0.00002131364,0.00003019551,0.00001264919],"domain_scores_gemma":[0.9999458,0.00001387976,0.00001563996,0.000007162285,0.00001098351,0.000006562967],"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":[0.00001016102,0.000008354374,0.0000355916,0.0000378875,0.000003512417,0.00003255598,0.00001902332,0.0003831105,0.9964594,0.0003211506,0.00003448292,0.002654637],"study_design_scores_gemma":[0.000002652767,0.00004425045,0.0002794169,0.000002829619,0.00000293839,0.00004606776,0.000006292997,0.002424328,0.9947394,0.00008899012,0.002359729,0.000003131003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246306,0.001917338,0.06457932,0.0001131033,0.00007982604,0.0001063386,0.0001896911,0.0003668561,0.008016886],"genre_scores_gemma":[0.9470451,0.00113478,0.04624276,0.00004301543,0.00001184664,0.0001007735,0.0001632301,0.00006269729,0.005195878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000653071,"threshold_uncertainty_score":0.002343535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102754698589713,"score_gpt":0.2054880173091274,"score_spread":0.1952125474501561,"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."}}