{"id":"W1620347641","doi":"10.1007/978-3-642-15054-8_8","title":"High-Order Harmonic Generation from Nanostructured Material Using the Laser-Plasma Method","year":2010,"lang":"en","type":"book-chapter","venue":"Springer series in chemical physics","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Harmonics; Materials science; High harmonic generation; Monatomic ion; Plasma; Laser; Fullerene; Nanoclusters; Ionization; Nanomaterials; Plasmon; Atomic physics; Optoelectronics; Optics; Nanotechnology; Physics; Ion","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":[0.0001407531,0.0001952526,0.0003051595,0.0002240794,0.0002684455,0.000421471,0.0006157089,0.0004821571,0.004164478],"category_scores_gemma":[0.0001206354,0.0002058068,0.000285735,0.00024751,0.0005055534,0.0005773263,0.0005889561,0.0008353107,0.001207062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988384,"about_ca_system_score_gemma":0.0001650494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001014555,"about_ca_topic_score_gemma":0.0002532971,"domain_scores_codex":[0.9998938,0.00000744721,0.00000256228,0.00001805748,0.00006747332,0.00001075469],"domain_scores_gemma":[0.9999571,0.00002154062,0.000003428818,0.00000845924,0.000005835887,0.000003661002],"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":[0.00008633344,0.00004952348,0.0001483952,0.0006667041,0.00002692928,0.0002058759,0.0002408789,0.002208155,0.8114795,0.08359568,0.005349312,0.09594276],"study_design_scores_gemma":[0.00008610237,0.0002949704,0.00144279,0.00007129647,0.000027112,0.001618592,0.00005418639,0.03372253,0.75668,0.04039712,0.1655298,0.00007536371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2246331,0.04307668,0.4102163,0.002379338,0.002871266,0.0002613048,0.0003435887,0.001300545,0.3149178],"genre_scores_gemma":[0.6957595,0.01477798,0.174681,0.0004085541,0.0005499175,0.0001696868,0.0002696525,0.0002623961,0.1131214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004164478,"threshold_uncertainty_score":0.01393157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873182702495786,"score_gpt":0.2625207161444624,"score_spread":0.2437888891195045,"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."}}