{"id":"W645080603","doi":"10.1016/j.nimb.2015.05.030","title":"Developing a passive trap for diffusive atmospheric 14CO2 sampling","year":2015,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McMaster University","keywords":"Trap (plumbing); Sampling (signal processing); Environmental science; Passive sampling; Atmospheric sciences; Physics; Computer science; Mathematics; Statistics; Environmental engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009178852,0.000507121,0.0006502297,0.0003619463,0.0009498693,0.001130581,0.002625446,0.001079282,0.002556095],"category_scores_gemma":[0.001122078,0.0008188725,0.0004198878,0.0003285733,0.0007021309,0.00189362,0.002505799,0.001023986,0.001244751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007337955,"about_ca_system_score_gemma":0.002160983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106418,"about_ca_topic_score_gemma":0.004704861,"domain_scores_codex":[0.9994612,0.00003981238,0.00002295895,0.0001569182,0.0002591782,0.00005988762],"domain_scores_gemma":[0.9992823,0.0001381236,0.00006697471,0.000146621,0.0002609976,0.0001049831],"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":[0.0002801098,0.0001959488,0.002919694,0.0001679346,0.00003484187,0.0001129602,0.0001233557,0.006128874,0.9393518,0.006813124,0.0007106632,0.04316075],"study_design_scores_gemma":[0.0001445305,0.001104749,0.001786836,0.00002277933,0.00005865989,0.0005501669,0.0001310321,0.3007632,0.6776336,0.002837107,0.0148739,0.00009345626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1201797,0.0002288871,0.8746291,0.0002854101,0.0001227207,0.0004860741,0.0002474173,0.001536981,0.002283723],"genre_scores_gemma":[0.3208703,0.0002041363,0.6718299,0.0001719772,0.00004673798,0.0003816588,0.0003420318,0.0001513149,0.00600202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002625446,"threshold_uncertainty_score":0.008550942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503331604807813,"score_gpt":0.3949702770496441,"score_spread":0.319936961001566,"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."}}