{"id":"W3094814371","doi":"10.1088/1361-6463/abc7db","title":"Ultra-high-resolution optical absorption spectroscopy of DC plasmas at low pressure using a supercontinuum laser combined with a laser line tunable filter and a HyperFine spectrometer","year":2020,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Photon Etc (Canada); LightMachinery (Canada); Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Analytical Chemistry (journal); Argon; Spectroscopy; Absorption (acoustics); Supercontinuum; Absorption spectroscopy; Materials science; Atomic physics; Chemistry; Physics; Optics","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":[0.00009211225,0.0003589033,0.0006958756,0.00003395319,0.0001246276,0.00005995157,0.0002288887,0.0001267442,0.0001809854],"category_scores_gemma":[0.00001078211,0.0003092562,0.0001600511,0.0003363239,0.0001875468,0.0002732104,0.00007138437,0.0005647015,0.000009684896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000974,"about_ca_system_score_gemma":0.0001019647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008948173,"about_ca_topic_score_gemma":0.000003965425,"domain_scores_codex":[0.9981989,0.00001872844,0.0005614458,0.0003650867,0.0004809596,0.0003748301],"domain_scores_gemma":[0.9986314,0.000112316,0.0005350587,0.000292687,0.0001978601,0.000230732],"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":[0.002333804,0.0005804601,0.0001876074,0.0002763406,0.000319948,0.00000688377,0.0004203434,0.01375988,0.9793832,0.002445736,0.0002188841,0.00006691986],"study_design_scores_gemma":[0.003073651,0.0004809666,0.00009885191,0.0001062873,0.0005583098,0.00002156772,0.0001350579,0.01134626,0.9817221,0.002035918,0.0001136206,0.0003074245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853826,0.00003232431,0.01321219,0.0001825453,0.00002860728,0.0002056143,0.0001035959,0.00003173386,0.0008207593],"genre_scores_gemma":[0.9906648,0.00002677567,0.00790991,0.0001068946,0.001090449,0.00001574242,0.00005552656,0.00006622774,0.00006366704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005302278,"threshold_uncertainty_score":0.9999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453244653466045,"score_gpt":0.2234764632849716,"score_spread":0.2089440167503112,"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."}}