{"id":"W2249571851","doi":"10.1103/physreva.80.043808","title":"High-order harmonic generation from<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mtext>C</mml:mtext><mml:mrow><mml:mn>60</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>-rich plasma","year":2009,"lang":"lv","type":"article","venue":"Physical Review A","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Wavelength; Laser; Second-harmonic generation; Harmonic; High harmonic generation; Polarization (electrochemistry); Atomic physics; Optics; Quantum mechanics; Chemistry; Physical chemistry","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":[0.0001238932,0.0002022187,0.0001825272,0.0001650595,0.0003456539,0.0001923933,0.0002224965,0.0002662838,0.003124872],"category_scores_gemma":[0.0002503383,0.0001089029,0.0001901113,0.0002529257,0.0002527926,0.000288694,0.0003196357,0.0004554811,0.0003202106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005188296,"about_ca_system_score_gemma":0.000233993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000812194,"about_ca_topic_score_gemma":0.001314951,"domain_scores_codex":[0.9999001,0.000006377435,0.000002928218,0.00002196719,0.00003802844,0.00003052141],"domain_scores_gemma":[0.9998549,0.00006569344,0.00002922424,0.00001518044,0.00002213949,0.00001279253],"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":[0.0000690833,0.00003602177,0.001094379,0.0001083592,0.00001206061,0.0001158429,0.0001419613,0.001911145,0.9930217,0.0009199906,0.000121653,0.002447761],"study_design_scores_gemma":[0.000008304766,0.0001065243,0.002226277,0.000004100691,0.000006360991,0.00004184464,0.00004716332,0.004802767,0.9915341,0.0002341475,0.0009803538,0.000008079257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969152,0.0001010653,0.001507501,0.00003217061,0.000003971394,0.00001190996,0.0001149284,0.00002386639,0.001289408],"genre_scores_gemma":[0.9973394,0.0001128478,0.001650807,0.000009462193,0.000002259686,0.00001653588,0.0001325932,0.00002069344,0.0007153826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003124872,"threshold_uncertainty_score":0.0104537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028740758856187,"score_gpt":0.2691011677005243,"score_spread":0.2488137601119624,"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."}}