{"id":"W3197323858","doi":"10.3390/nano11092264","title":"In Situ Collection of Nanoparticles during Femtosecond Laser Machining in Air","year":2021,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Machining; Nanoparticle; Materials science; Laser; Laser ablation; Fluence; Laser scanning; Laser ablation synthesis in solution; Nanotechnology; Optics; Composite material; Laser power scaling; Metallurgy; X-ray laser","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":[0.000190704,0.0003084233,0.0002746607,0.0001465409,0.0003050949,0.000373535,0.0003631905,0.0003726308,0.0007817775],"category_scores_gemma":[0.0003728214,0.0002158395,0.0001744136,0.0001620498,0.0004352288,0.0004222043,0.0002501894,0.0003690114,0.0001964181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141875,"about_ca_system_score_gemma":0.0001671364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005860287,"about_ca_topic_score_gemma":0.001175532,"domain_scores_codex":[0.9997247,0.00002071415,0.00001202947,0.00008400976,0.0001108267,0.0000476452],"domain_scores_gemma":[0.999698,0.000129862,0.00007486577,0.00004337545,0.00004150235,0.00001243678],"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":[0.00003150931,0.00000982102,0.0001364105,0.00004235657,0.000002737481,0.00003860439,0.00009748408,0.0001599436,0.997658,0.00004417039,0.00003349939,0.001745521],"study_design_scores_gemma":[0.000003044095,0.00006855105,0.0007879571,0.000001560165,0.000002444835,0.00003996199,0.00002874456,0.001289225,0.9973246,0.00002163123,0.0004277431,0.000004495527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897961,0.0003604974,0.008518878,0.00004604357,0.00001771796,0.00002900826,0.00007287961,0.0001769909,0.000981912],"genre_scores_gemma":[0.9911556,0.0001776299,0.007580933,0.00002275033,0.000008347539,0.00002268028,0.00005578818,0.00003490662,0.0009413076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007817775,"threshold_uncertainty_score":0.002615273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007883271063080614,"score_gpt":0.2247822184553808,"score_spread":0.2168989473923002,"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."}}