{"id":"W4210620777","doi":"10.1139/cjp-2021-0042","title":"Low-power CW laser-assisted synthesis of plasmonic aluminium nanoparticles using low duty cycle optical chopper","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chopper; Laser; Duty cycle; Nanoparticle; Aluminium; Photoluminescence; Plasmon; Power density; Optoelectronics; Physics; Materials science; Continuous wave; Analytical Chemistry (journal); Optics; Nanotechnology; Power (physics); Voltage; Chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003336991,0.0001926592,0.0003995234,0.0001854876,0.0001970192,0.00005341706,0.0003533495,0.00005786016,0.0004280077],"category_scores_gemma":[0.0001468626,0.0002087394,0.0002005659,0.0004107734,0.0001294631,0.0003362188,0.00003349277,0.0002880747,0.0000173256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004507145,"about_ca_system_score_gemma":0.0005964858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001843366,"about_ca_topic_score_gemma":0.0003798995,"domain_scores_codex":[0.9982946,0.00009346593,0.0006085978,0.000139239,0.000401569,0.000462533],"domain_scores_gemma":[0.9985926,0.000257694,0.000208151,0.0002726905,0.0001489741,0.0005199625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004268227,0.0001963957,0.003296253,0.00007637197,0.0002608444,0.0001676578,0.0005156278,0.5607718,0.4274806,0.0003491156,0.00107193,0.005770709],"study_design_scores_gemma":[0.0004069626,0.00007205097,0.004603714,0.0001057172,0.000115829,0.00008339116,0.0004409297,0.01674411,0.9764779,0.0001626446,0.0005056305,0.0002811445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987282,0.0001004643,0.0001568708,0.0001447297,0.0004205267,0.00008055689,0.00008053396,0.00002381153,0.0002643212],"genre_scores_gemma":[0.9989025,0.00000425065,0.0008702861,0.0000446945,0.0001006061,0.000006277612,0.000001231101,0.00006056189,0.000009607822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5489973,"threshold_uncertainty_score":0.8512143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132997623754717,"score_gpt":0.2045387846734771,"score_spread":0.1912390222980054,"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."}}