{"id":"W2531753343","doi":"10.1088/0963-0252/25/2/025001","title":"Parametric scaling of neutral and ion excited state densities in an argon helicon source","year":2016,"lang":"en","type":"article","venue":"Plasma Sources Science and Technology","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Division of Physics; National Science Foundation","keywords":"Helicon; Argon; Excited state; Scaling; Atomic physics; Parametric statistics; Ion; Plasma; Materials science; Physics; Nuclear physics; Statistics; Mathematics","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":[0.0001572144,0.00008149408,0.0001231966,0.0007797883,0.00007181808,0.00003007622,0.0001455892,0.00006976283,4.20329e-7],"category_scores_gemma":[0.0001076557,0.00006424895,0.000005721196,0.001080747,0.0006986132,0.0001584716,0.00005508582,0.00007314516,0.000001956298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001934748,"about_ca_system_score_gemma":0.00001282225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000179453,"about_ca_topic_score_gemma":0.00006320373,"domain_scores_codex":[0.9993396,0.000004040193,0.0001438483,0.0001932116,0.0000844559,0.0002348499],"domain_scores_gemma":[0.9996043,0.0001345927,0.00003142039,0.0001252898,0.00005079424,0.00005354924],"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":[0.0000165665,0.000078069,0.1249934,0.00006742278,0.00001072528,0.000007378339,0.001044563,0.01288643,0.651098,0.009486543,0.00001190018,0.2002991],"study_design_scores_gemma":[0.0004522585,0.0001328174,0.01595023,0.00008114859,0.000006965861,0.00003457523,0.0006889826,0.1925509,0.7826331,0.006801483,0.0004433095,0.0002242216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990793,0.0000842576,0.0003664333,0.000218354,0.00002470085,0.00007392336,0.00000673771,0.0001155199,0.00003071367],"genre_scores_gemma":[0.9994081,0.0001876219,0.0003652783,0.00000689891,0.000005169134,0.00001205654,4.43676e-7,0.000006626985,0.000007784512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2000749,"threshold_uncertainty_score":0.2619996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007365210706524362,"score_gpt":0.2024964865388087,"score_spread":0.1951312758322843,"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."}}