{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002154646,0.0001160468,0.0002797925,0.0001457136,0.00002057316,0.0000248443,0.00007893042,0.00008987355,0.0001647625],"category_scores_gemma":[0.00004771103,0.0001288459,0.0000203901,0.0002768547,0.00001668429,0.0002505851,0.00004827382,0.00004312812,0.000008014613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009042406,"about_ca_system_score_gemma":0.00002884394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004100437,"about_ca_topic_score_gemma":0.0001894903,"domain_scores_codex":[0.9990721,0.00006684702,0.000428896,0.0001517409,0.00007803127,0.0002023289],"domain_scores_gemma":[0.9997424,0.00002225777,0.00004705333,0.0001418924,0.00002336945,0.00002304393],"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":[0.00002742591,0.00002669224,0.001445681,0.0003064984,0.000004977227,0.00005367745,0.0003323854,0.0005255784,0.9971792,0.00001851398,0.00003866637,0.0000406676],"study_design_scores_gemma":[0.0004438264,0.00001135572,0.01371748,0.0001481169,0.000002993959,0.00001583693,0.00002832259,0.00008386051,0.9849095,0.0004682264,0.00004367493,0.0001268336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984407,0.0000802647,0.000006862898,0.00002277497,0.0004603548,0.00009669377,0.000008885424,0.0002054688,0.0006779925],"genre_scores_gemma":[0.998814,0.00002256582,0.000983913,0.0000148445,0.00004246632,0.0000322928,0.00000552387,0.00002961514,0.0000547425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122718,"threshold_uncertainty_score":0.5254184,"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."}}