{"id":"W4299478203","doi":"","title":"All-parametric dual-wavelength source for difference frequency generation experiments","year":2013,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Photorefractive and Nonlinear Optics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optina Diagnostics (Canada)","funders":"","keywords":"Parametric statistics; Dual (grammatical number); Wavelength; Optics; Computer science; Optical parametric amplifier; Frequency conversion; Physics; Optical amplifier; Mathematics; Electrical engineering; Laser; Engineering; Statistics","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":[0.0006388148,0.000168902,0.0001636648,0.00008459809,0.0002419856,0.0002107462,0.0002710318,0.00005611782,0.000358197],"category_scores_gemma":[0.0001844721,0.000166122,0.00009937784,0.0002139022,0.00006309802,0.0002044232,0.00009880427,0.0001385013,0.00008126513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004021784,"about_ca_system_score_gemma":0.00006370623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544943,"about_ca_topic_score_gemma":0.00003329027,"domain_scores_codex":[0.9983659,0.0005976646,0.0002587028,0.0003349634,0.0001769895,0.0002657775],"domain_scores_gemma":[0.9975862,0.0005773989,0.0001909568,0.0006041581,0.000919175,0.0001220919],"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":[0.00001373596,0.002785624,0.0294891,0.00004185196,0.0003372629,6.969693e-7,0.009233955,0.0000163534,0.5898237,0.1087306,0.005431828,0.2540953],"study_design_scores_gemma":[0.001029042,0.000001740707,0.005704749,0.00008984061,0.0000402576,0.00000110173,0.0002928193,0.1092375,0.8657853,0.005717556,0.01163302,0.0004670802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7499542,0.00006813688,0.2393249,0.0007977026,0.00007409336,0.0004077136,0.00003190058,0.00004460525,0.009296815],"genre_scores_gemma":[0.9477329,0.00001631542,0.04600582,0.00009503424,0.00007500705,0.000197539,0.0003970796,0.00002533999,0.005454963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2759616,"threshold_uncertainty_score":0.6774257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727447390114855,"score_gpt":0.257721572910792,"score_spread":0.2304470990096434,"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."}}