{"id":"W1693288448","doi":"10.1007/978-3-642-10523-4_7","title":"Laser Synthesis of Nanomaterials","year":2010,"lang":"en","type":"book-chapter","venue":"Springer series in materials science","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs; Multiple Sclerosis Society; Polytechnique Montréal","keywords":"Nanomaterials; Laser ablation; Materials science; Laser ablation synthesis in solution; Nanotechnology; Nanoparticle; Laser; Nanostructure; Pulsed laser deposition; Ablation; Thin film; X-ray laser; Optics; Laser power scaling; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001637633,0.0007023591,0.0005846156,0.0007089492,0.0005084353,0.0008235156,0.0006691862,0.0007082054,0.01564533],"category_scores_gemma":[0.000147897,0.0004127338,0.0003520105,0.0006753371,0.0004949411,0.001255364,0.0007831267,0.001485341,0.01006734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007143245,"about_ca_system_score_gemma":0.0003773745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002578505,"about_ca_topic_score_gemma":0.0008241841,"domain_scores_codex":[0.9997876,0.00001384885,0.000006464516,0.00005220849,0.0001214913,0.00001846045],"domain_scores_gemma":[0.9999617,0.0000125803,0.000003709335,0.000008960285,0.000009106624,0.000003948559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007043612,0.0001130659,0.00009979353,0.00181022,0.00004322233,0.0002457806,0.0003854337,0.001257037,0.3125882,0.1117658,0.0861318,0.4854893],"study_design_scores_gemma":[0.00000937315,0.00004967858,0.000199742,0.0001065632,0.00001004887,0.0004430948,0.00003029362,0.001167329,0.1660188,0.01240385,0.8195443,0.00001703056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01413044,0.1548192,0.1302435,0.00218082,0.005144273,0.000273125,0.0005676469,0.001953636,0.6906874],"genre_scores_gemma":[0.0519745,0.06163153,0.04229663,0.001199338,0.0005650845,0.0002790182,0.0006750796,0.0004906188,0.8408882],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01564533,"threshold_uncertainty_score":0.05233884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001408269367725,"score_gpt":0.2045851877641972,"score_spread":0.19457110507052,"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."}}