{"id":"W2021424493","doi":"10.1016/s0168-1923(02)00249-6","title":"In situ isoprene measurements from foliage using a fast-response hydrocarbon instrument","year":2003,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Isoprene; Hydrocarbon; Environmental science; Environmental chemistry; Flame ionization detector; Parts-per notation; Atmospheric sciences; Chemistry; Remote sensing; Gas chromatography; Geology; Chromatography; Organic chemistry","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":[0.0001125046,0.0004170306,0.0003856845,0.000484561,0.0006843096,0.0004129678,0.0003272484,0.000444818,0.0008968649],"category_scores_gemma":[0.0001348617,0.0002436263,0.0002217029,0.000440391,0.0001792034,0.0004286657,0.0003341661,0.0003919315,0.0002521528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005358513,"about_ca_system_score_gemma":0.0004664159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116403,"about_ca_topic_score_gemma":0.05397348,"domain_scores_codex":[0.9997755,0.00001369972,0.000004127407,0.00009377574,0.00007807181,0.00003484595],"domain_scores_gemma":[0.9998834,0.00002473275,0.00001450859,0.00001283932,0.0000361685,0.00002828461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002211736,0.00005574924,0.01676912,0.00003333788,0.00003449113,0.00004552742,0.00007681159,0.0004114512,0.9760943,0.00003773967,0.0001128653,0.006107492],"study_design_scores_gemma":[0.0001082982,0.0006937439,0.397024,0.00001666274,0.0002516619,0.0005371963,0.0001708186,0.01417227,0.5825229,0.0001392777,0.004293567,0.00006966288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947278,0.0001326205,0.003073988,0.00001055816,0.00000819074,0.00001711178,0.0007210835,0.00009731861,0.001211369],"genre_scores_gemma":[0.9864894,0.0002455057,0.01023795,0.00002494021,0.00001337308,0.00002323154,0.001355386,0.00004400381,0.001566125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02116403,"threshold_uncertainty_score":0.04208165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127697099859877,"score_gpt":0.2064164180034383,"score_spread":0.1851394470048395,"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."}}