{"id":"W2161626957","doi":"10.3402/tellusb.v56i3.16424","title":"On the CO<sub>2</sub> exchange between the atmosphere and the biosphere: the role of synoptic and mesoscale processes","year":2004,"lang":"en","type":"article","venue":"Tellus B","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Foundation for Climate and Atmospheric Sciences; National Institute of Advanced Industrial Science and Technology","keywords":"Mesoscale meteorology; Troposphere; Atmosphere (unit); Atmospheric sciences; Biosphere; Environmental science; Climatology; Biosphere model; Planetary boundary layer; Eddy covariance; Boundary layer; Meteorology; Geology; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003462457,0.0004220788,0.0001996612,0.0001913917,0.0004485654,0.001281818,0.0003844705,0.0003234633,0.00165886],"category_scores_gemma":[0.0008445213,0.0001968704,0.0002328588,0.0003529966,0.0007268275,0.001091479,0.0003545465,0.0003149708,0.0001853105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576101,"about_ca_system_score_gemma":0.001901483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4111101,"about_ca_topic_score_gemma":0.2970631,"domain_scores_codex":[0.9998966,0.00003735649,0.000003377452,0.00002583451,0.00001915794,0.00001761173],"domain_scores_gemma":[0.9997125,0.0001445344,0.00004189373,0.00002355251,0.00004773335,0.00002966721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003165941,0.000114568,0.1219399,0.0001126182,0.000322711,0.0003159359,0.0002908521,0.8084472,0.01501142,0.01386098,0.003256965,0.03601028],"study_design_scores_gemma":[0.00002571149,0.00002352763,0.08519278,0.00001479681,0.00005895496,0.00002436965,0.000103194,0.9076722,0.001283064,0.003120367,0.002455879,0.00002514011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777268,0.00121349,0.009988749,0.001200231,0.0000520822,0.00002006487,0.0006145372,0.0001226082,0.009061518],"genre_scores_gemma":[0.9976767,0.0004109966,0.0009386074,0.0000402017,0.00001558696,0.000005382705,0.0001229201,0.00003589023,0.0007538502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4111101,"threshold_uncertainty_score":0.8174344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004555320539848523,"score_gpt":0.1758154808031992,"score_spread":0.1712601602633506,"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."}}