{"id":"W2304467788","doi":"10.1364/cleo_si.2017.sm2m.4","title":"Linearizing Nonlinear Optics","year":2017,"lang":"en","type":"preprint","venue":"Conference on Lasers and Electro-Optics","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Ministère de l'Économie, de l’Innovation et des Exportations du Québec","keywords":"Physics; Amplitude; Nonlinear optics; Nonlinear system; Frequency domain; Phase (matter); Convolution (computer science); Optics; High harmonic generation; Field (mathematics); Spectral density; Laser; Quantum mechanics; Mathematical analysis; Mathematics; Computer science","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":[0.0004092178,0.000712828,0.0003077334,0.0004260688,0.0005950953,0.001257013,0.0007051549,0.0009322065,0.009216456],"category_scores_gemma":[0.001288389,0.0003715039,0.0003304629,0.0002771909,0.001742699,0.002399231,0.002078766,0.001724555,0.002289656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005760978,"about_ca_system_score_gemma":0.0004426162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004977126,"about_ca_topic_score_gemma":0.0005000708,"domain_scores_codex":[0.9995613,0.00005076439,0.00001303516,0.00007915916,0.0002103592,0.00008549112],"domain_scores_gemma":[0.9995893,0.0001544766,0.00004717548,0.0001010697,0.00008324525,0.00002476498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007646973,0.00007509688,0.0003481917,0.000171985,0.00002106175,0.0001847644,0.0002761866,0.007126553,0.220177,0.7248895,0.002664242,0.04398904],"study_design_scores_gemma":[0.00007041368,0.0002989189,0.0006255497,0.0001254995,0.00003973857,0.001135064,0.0002193201,0.145663,0.2667972,0.507646,0.07724926,0.0001301057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0992076,0.001376141,0.7247284,0.002087593,0.0008615777,0.0001546867,0.0001721329,0.001473881,0.169938],"genre_scores_gemma":[0.7134952,0.002324482,0.2338182,0.001373044,0.00047589,0.0002096061,0.0001801805,0.0004497929,0.04767367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009216456,"threshold_uncertainty_score":0.03083211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387253394008726,"score_gpt":0.306692611879373,"score_spread":0.2728200779392857,"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."}}