{"id":"W2518394936","doi":"10.1109/plasma.2016.7534209","title":"Interferometrio characterization of preplasma density for high intensity laser plasma interaction studies","year":2016,"lang":"en","type":"article","venue":"","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Laser; Plasma; Optics; National Ignition Facility; Inertial confinement fusion; Nanosecond; Materials science; Interferometry; Femtosecond; Thermal blooming; Plasma diagnostics; Physics","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":[0.0002621601,0.0002295603,0.0001838054,0.0005298283,0.0002727921,0.000168206,0.0003926258,0.0002129448,0.004172895],"category_scores_gemma":[0.0004254439,0.0001286255,0.0001587774,0.0005292796,0.0001355598,0.0001900837,0.0001347132,0.0003127124,0.0004580605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004510326,"about_ca_system_score_gemma":0.0002015625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324349,"about_ca_topic_score_gemma":0.001948629,"domain_scores_codex":[0.9997346,0.00002209789,0.00001045662,0.0000307197,0.0001742077,0.00002782733],"domain_scores_gemma":[0.9996019,0.000119781,0.00007606679,0.00003389854,0.0001493228,0.0000190602],"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":[0.00006789192,0.00002981758,0.00183259,0.00005717673,0.000005241333,0.00003929182,0.00006346329,0.0007473758,0.9906917,0.000236559,0.0003531917,0.005875685],"study_design_scores_gemma":[0.000004682084,0.0002656172,0.01993826,0.000004641468,0.00001113353,0.00009213752,0.00006536239,0.009596456,0.9663734,0.00009775202,0.003538084,0.00001239991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225731,0.0006668672,0.06658913,0.0001163905,0.00004492798,0.0001334114,0.002105507,0.0006633181,0.007107301],"genre_scores_gemma":[0.9575182,0.0003837768,0.03711849,0.00002692635,0.00001544087,0.0001859074,0.001807774,0.00009045821,0.002853014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004172895,"threshold_uncertainty_score":0.01395971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483503881563674,"score_gpt":0.252505337477047,"score_spread":0.2276702986614102,"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."}}