{"id":"W2066437142","doi":"10.1063/1.2759887","title":"Spectroscopic characterization of femtosecond laser filament in argon gas","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Université Laval","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Filamentation; Femtosecond; Argon; Plasma; Electron density; Atomic physics; Electron temperature; Protein filament; Laser; Plasma diagnostics; Electron; Stark effect; Materials science; Chemistry; Optics; Physics; Electric field","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":[0.0001047828,0.0001532055,0.0001659174,0.0003479235,0.0004110742,0.0001615529,0.0003600727,0.0003317262,0.001007414],"category_scores_gemma":[0.0003287654,0.0001133089,0.0001312894,0.0001986818,0.0002524916,0.0002945853,0.0001875571,0.00026714,0.0001155582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883478,"about_ca_system_score_gemma":0.00008397826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000585675,"about_ca_topic_score_gemma":0.0004180235,"domain_scores_codex":[0.999868,0.000011885,0.00000351835,0.00003191758,0.00006277621,0.0000217126],"domain_scores_gemma":[0.9997749,0.0000591938,0.00006937393,0.00002041076,0.00005810871,0.00001796697],"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":[0.00008393161,0.00001753185,0.002433649,0.0000302123,0.00000729208,0.0001258061,0.0001497205,0.0001813829,0.9935164,0.0003589457,0.00007047988,0.003024578],"study_design_scores_gemma":[0.0000101065,0.0002296178,0.02057185,0.000008396803,0.00001281201,0.0007527622,0.0001141455,0.005885806,0.9704198,0.000267126,0.00171324,0.00001433339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894344,0.000395562,0.008393184,0.00006328877,0.00001241323,0.00001321763,0.0001426832,0.0001094066,0.001435791],"genre_scores_gemma":[0.9942132,0.0001436651,0.00496482,0.00001185438,0.000008924004,0.00001795499,0.0001189394,0.00001581964,0.0005049463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001007414,"threshold_uncertainty_score":0.003370106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007849815420037634,"score_gpt":0.249960026960146,"score_spread":0.2421102115401084,"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."}}