{"id":"W4415953939","doi":"","title":"Automated Nanosecond Plasma Jets for Targeted Medical Treatments","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Plasma; Medical imaging; Tracking (education); Nanosecond","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":[0.001259983,0.0001742068,0.0002775394,0.0001656595,0.0002729277,0.00006613783,0.0003183657,0.0001991186,0.0002527858],"category_scores_gemma":[0.004017584,0.0001651232,0.0001212703,0.0004620817,0.0001393563,0.00005918589,0.0001208832,0.000149692,0.00006229594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009776735,"about_ca_system_score_gemma":0.0004623963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001172333,"about_ca_topic_score_gemma":0.0003220621,"domain_scores_codex":[0.9982324,0.0004467196,0.0003773865,0.0003922484,0.0002743402,0.0002769582],"domain_scores_gemma":[0.9954071,0.002316896,0.000125671,0.0008436238,0.001073557,0.0002331611],"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":[0.0003188925,0.008389853,0.0200653,0.0006599592,0.001148817,0.00005490922,0.003449125,0.00001962385,0.06131196,0.4615176,0.1686439,0.2744201],"study_design_scores_gemma":[0.009224471,0.000004231646,0.03216636,0.002039199,0.0003814932,0.00005555231,0.0001407871,0.1761594,0.5615294,0.002527943,0.2153096,0.00046151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8069788,0.0006345701,0.04694482,0.0371936,0.0002371579,0.001572407,0.0001774825,0.001002041,0.1052592],"genre_scores_gemma":[0.9369472,0.0002294658,0.03819473,0.0006262154,0.00001419153,0.0003242866,0.0009989635,0.00002846349,0.02263647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5002174,"threshold_uncertainty_score":0.6733529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009934525091679561,"score_gpt":0.2638909657654215,"score_spread":0.253956440673742,"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."}}