{"id":"W2153383208","doi":"10.1111/j.1600-0889.2010.00468.x","title":"Novel design of an enclosed CO&lt;sub&gt;2&lt;/sub&gt;/H&lt;sub&gt;2&lt;/sub&gt;O gas analyser for eddy covariance flux measurements","year":2010,"lang":"en","type":"article","venue":"Tellus B","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Università degli Studi della Tuscia; Florida International University","keywords":"Eddy covariance; Gas analyzer; Path (computing); Analyser; Path length; Field (mathematics); Flux (metallurgy); Physics; Environmental science; Analytical Chemistry (journal); Optics; Computer science; Chemistry; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00209589,0.001256377,0.001277713,0.00008355014,0.000722863,0.0001489155,0.0019131,0.0007566565,0.001797972],"category_scores_gemma":[0.0002106751,0.001258521,0.0005213492,0.0008818049,0.001405253,0.0009836482,0.0006023889,0.0007386681,0.00102889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009185229,"about_ca_system_score_gemma":0.0001466827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001761295,"about_ca_topic_score_gemma":0.0006668239,"domain_scores_codex":[0.992032,0.0002670664,0.001549831,0.001986101,0.002281546,0.001883459],"domain_scores_gemma":[0.9957325,0.0002781849,0.0009577784,0.002023373,0.00008466653,0.0009234553],"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":[0.0004359814,0.001348163,0.003408361,0.00006855129,0.0002241356,0.00002574535,0.000507498,0.06570942,0.9122366,0.0001442285,0.002102984,0.01378837],"study_design_scores_gemma":[0.01047366,0.002358189,0.06221737,0.000225323,0.001224378,0.0001685247,0.0003004861,0.2885777,0.5998416,0.002072031,0.0277047,0.004836082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7563117,0.0001980587,0.2369509,0.0001272872,0.0008174989,0.002158493,0.0001520247,0.0002290288,0.003054983],"genre_scores_gemma":[0.8839971,0.0002230707,0.1125479,0.0005908695,0.0003244958,0.0002393118,0.0002266428,0.0002677401,0.001582903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.312395,"threshold_uncertainty_score":0.9997489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631294811948155,"score_gpt":0.2343552563171966,"score_spread":0.2080423081977151,"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."}}