{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894424,0.0003836522,0.000461901,0.0003705749,0.0003156201,0.001446709,0.0005233358,0.000808176,0.007802506],"category_scores_gemma":[0.0007755613,0.000240731,0.0003422926,0.0003803187,0.0004656916,0.0007861404,0.0006963388,0.0006105842,0.001650063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008484652,"about_ca_system_score_gemma":0.0004505571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003720346,"about_ca_topic_score_gemma":0.0005077544,"domain_scores_codex":[0.9994262,0.00005781388,0.00002785382,0.00009890644,0.0003248016,0.00006441535],"domain_scores_gemma":[0.9995646,0.0001607998,0.00009657392,0.00005525976,0.00009042204,0.00003232995],"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":[0.0005729821,0.0001093977,0.0007899566,0.0003722248,0.00003925788,0.0001935094,0.0001985992,0.003180571,0.8828141,0.004077392,0.006550929,0.1011011],"study_design_scores_gemma":[0.0002015524,0.0009012583,0.007949182,0.00009019173,0.00009672147,0.001249547,0.0001609059,0.06110747,0.8305352,0.00467395,0.09292118,0.0001128188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4405987,0.0353556,0.4446717,0.003689411,0.003911857,0.0006973269,0.0008975193,0.006715158,0.06346272],"genre_scores_gemma":[0.8991502,0.005356608,0.0680947,0.0008297767,0.0007620227,0.0001962685,0.0003361841,0.0005592365,0.02471505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007802506,"threshold_uncertainty_score":0.02610201,"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."}}