{"id":"W2014185839","doi":"10.1007/s11090-009-9196-9","title":"Nano-Particle Sizing in a Thermal Plasma Synthesis Reactor","year":2009,"lang":"en","type":"article","venue":"Plasma Chemistry and Plasma Processing","topic":"Dust and Plasma Wave Phenomena","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Plasma; Inductively coupled plasma; Sizing; Sampling (signal processing); Nano-; Analytical Chemistry (journal); Particle size; Particle (ecology); Raw material; Particle-size distribution; Chemical engineering; Chemistry; Composite material; Chromatography; Optics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002611955,0.0004004973,0.0004123439,0.0000374001,0.0002483788,0.000264244,0.00023857,0.0001416235,0.0003801704],"category_scores_gemma":[0.00005386132,0.0003947796,0.00008111278,0.0003084257,0.00008692824,0.000495526,0.00005448116,0.0004196575,0.00003750331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004225023,"about_ca_system_score_gemma":0.0001140512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002544452,"about_ca_topic_score_gemma":0.000003133552,"domain_scores_codex":[0.9980198,0.00003886011,0.0004553445,0.0005624516,0.0002336121,0.0006899571],"domain_scores_gemma":[0.9990163,0.0002842179,0.0001913203,0.0002241922,0.00004675171,0.0002371738],"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":[0.0003532091,0.0004641248,0.03660868,0.0002554191,0.00005949484,0.00003359618,0.00177251,0.0003606177,0.6123227,0.0003371155,0.00005669961,0.3473758],"study_design_scores_gemma":[0.001410742,0.00004072368,0.002225377,0.000395228,0.00006145582,0.00002570169,0.001013963,0.03133668,0.9605363,0.0007994601,0.001404711,0.0007496492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528222,0.0001126085,0.00002099607,0.0002984874,0.0000506371,0.0001147973,0.00003058851,0.00007973223,0.04646994],"genre_scores_gemma":[0.9981964,0.000006297094,0.0007940431,0.00003909328,0.0002948718,0.00002905533,0.0000267228,0.0000297513,0.0005838018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3482136,"threshold_uncertainty_score":0.9998504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077100950539904,"score_gpt":0.217822621585835,"score_spread":0.2070516120804359,"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."}}