{"id":"W2092721404","doi":"10.1134/s0001433806040098","title":"Modeling of vertical heat and moisture transfer and carbon exchange in the soil-vegetation-atmosphere system","year":2006,"lang":"en","type":"article","venue":"Izvestiya Atmospheric and Oceanic Physics","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Transpiration; Interception; Vegetation (pathology); Atmosphere (unit); Water content; Atmospheric sciences; Evaporation; Sensible heat; Moisture; Soil science; Hydrology (agriculture); Photosynthesis; Geology; Ecology; Meteorology; Chemistry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001026026,0.0001330022,0.0001642711,7.602147e-7,0.00006485394,0.00002405706,0.00006700536,0.00006474552,0.000001715279],"category_scores_gemma":[0.00000193101,0.0000970474,0.00002009225,0.0001468201,0.0001281721,0.0001025373,0.00003422276,0.0001108387,5.223523e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003106623,"about_ca_system_score_gemma":0.000006361465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156391,"about_ca_topic_score_gemma":0.0003044077,"domain_scores_codex":[0.9992495,0.00004217486,0.0001805346,0.0002077453,0.0001617955,0.0001582686],"domain_scores_gemma":[0.9997959,0.00003925981,0.00001124072,0.0001100516,0.000004823285,0.00003878697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003884237,0.0001736935,0.2221228,0.000325018,0.0000262735,0.00002598893,0.003230477,0.7548423,0.001750094,0.01403013,0.00001199167,0.003422418],"study_design_scores_gemma":[0.000305251,0.00003618827,0.04441113,0.00004164922,0.00003742922,0.00002070857,0.0001901451,0.9532744,0.00001883778,0.001541041,0.000008642479,0.0001145736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921808,0.0008853695,0.004255308,0.00003961471,0.00002072895,0.0001479834,0.000003135036,0.00001460381,0.002452476],"genre_scores_gemma":[0.9993883,0.0001051601,0.0004080673,0.00003265226,0.00002530711,0.000006051113,0.000004877777,0.00001015529,0.00001936868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1984321,"threshold_uncertainty_score":0.3957478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004638082442737192,"score_gpt":0.168712233081871,"score_spread":0.1640741506391338,"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."}}