{"id":"W4402509592","doi":"10.1039/d4ay01183j","title":"Coaxial burner system for solid-sample flame emission spectroscopy","year":2024,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Queen's University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Combustor; Coaxial; Sample (material); Materials science; Analytical Chemistry (journal); Spectroscopy; Chemistry; Chromatography; Combustion; Physics; Engineering; Electrical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008195121,0.000250808,0.0004013575,0.0001300478,0.00009078614,0.0001572988,0.0001744624,0.0002178102,0.0001947722],"category_scores_gemma":[0.0003009489,0.0002049685,0.0002407243,0.0003467071,0.00003570108,0.000119553,0.00002932179,0.0003495788,0.0001058233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001962123,"about_ca_system_score_gemma":0.0000457089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001434288,"about_ca_topic_score_gemma":0.000002690726,"domain_scores_codex":[0.9984989,0.0001056132,0.000353711,0.000357052,0.0001704631,0.0005142379],"domain_scores_gemma":[0.9978763,0.001567048,0.00001571501,0.0002782278,0.000032901,0.0002298165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008936533,0.0000534118,0.00004621875,0.00212359,0.0005916666,0.00007434857,0.0002383886,0.004985912,0.8335009,0.1200967,0.0195818,0.01861774],"study_design_scores_gemma":[0.0001283915,0.00007038091,0.000008174059,0.0001016857,0.0001147223,0.00001173782,0.00003308598,0.5716419,0.3958584,0.002849566,0.02898986,0.0001921859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01941586,0.0002838852,0.9680662,0.0001945759,0.002064928,0.0002364429,0.00006373106,0.0009981311,0.008676279],"genre_scores_gemma":[0.5018914,0.00004225723,0.4951895,0.0000512972,0.001631996,0.00006830465,0.00004217993,0.0001203695,0.0009626932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5666559,"threshold_uncertainty_score":0.8358372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875424187151896,"score_gpt":0.3810035682450311,"score_spread":0.3522493263735121,"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."}}