{"id":"W4392646076","doi":"10.5194/egusphere-egu24-19252","title":"Novel, optimized and compact gas handling system for the HUN tall tower ICOS station","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Tower; Engineering; Environmental science; Computer science; Structural engineering","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":[0.0002387096,0.0007124789,0.0005060488,0.0006236242,0.0006238599,0.0007897125,0.001536348,0.0005456068,0.004624109],"category_scores_gemma":[0.0003404248,0.000242286,0.0002654709,0.0006095085,0.000216107,0.0005802919,0.0005176062,0.0003097565,0.001597725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007005766,"about_ca_system_score_gemma":0.001086121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004168122,"about_ca_topic_score_gemma":0.005975187,"domain_scores_codex":[0.9996232,0.00002636806,0.0000163968,0.0001148761,0.0001712584,0.0000478214],"domain_scores_gemma":[0.9998392,0.00001454941,0.00001920465,0.00003004977,0.00007767174,0.00001924741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00237009,0.0002679357,0.02544727,0.0007352007,0.0001145464,0.001081117,0.00059681,0.01555735,0.6412435,0.002483199,0.02672973,0.2833733],"study_design_scores_gemma":[0.0005507693,0.002413477,0.06931216,0.0001011115,0.000414049,0.001553917,0.0006428867,0.2073085,0.5193717,0.0008480127,0.1972106,0.000272962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4988215,0.001188279,0.439229,0.0006226884,0.0007967523,0.001139374,0.003965676,0.02680038,0.02743627],"genre_scores_gemma":[0.834089,0.0002729405,0.1357533,0.0003008437,0.0001734128,0.0004076692,0.003545144,0.0004578773,0.02499973],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004624109,"threshold_uncertainty_score":0.01546913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120113401222131,"score_gpt":0.2460070539310081,"score_spread":0.2248059199187868,"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."}}