{"id":"W4401826668","doi":"10.5194/bg-21-3735-2024","title":"Optimizing the terrestrial ecosystem gross primary productivity using carbonyl sulfide (COS) within a two-leaf modeling framework","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Nanjing University; National Natural Science Foundation of China; McGill University","keywords":"Primary production; Productivity; Primary productivity; Ecosystem; Sulfide; Carbonyl sulfide; Primary (astronomy); Environmental science; Terrestrial ecosystem; Chemistry; Environmental chemistry; Ecology; Sulfur; Biology; Economics; Organic chemistry","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":[0.0003835422,0.0009241835,0.0006009375,0.0002841227,0.0004558974,0.00069537,0.0008077399,0.0008955422,0.0007874262],"category_scores_gemma":[0.0005823977,0.0003590976,0.0009338404,0.0003467589,0.0003570892,0.0006175555,0.0005791635,0.0007878637,0.0001201524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006878786,"about_ca_system_score_gemma":0.001205438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02569606,"about_ca_topic_score_gemma":0.01463673,"domain_scores_codex":[0.9998884,0.00002735295,0.000005433953,0.00003531527,0.00002642339,0.00001699289],"domain_scores_gemma":[0.9998097,0.00008979961,0.00002073279,0.00001442666,0.00004115759,0.00002426437],"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":[0.00002323658,0.00003358055,0.001577683,0.00002572053,0.0000251062,0.00002819645,0.00001462123,0.9939663,0.002277675,0.0003775346,0.00009803139,0.001552287],"study_design_scores_gemma":[0.000005912366,0.000008501832,0.0001667383,7.811021e-7,0.000003960874,0.000001686259,0.000003016195,0.9993739,0.0002908506,0.00007445983,0.00006785583,0.000002271573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8394058,0.000457133,0.1520405,0.0003715947,0.00008966243,0.00007399623,0.000811675,0.0009870052,0.005762635],"genre_scores_gemma":[0.9784269,0.0001171455,0.02018632,0.00006003759,0.0000121726,0.00006776795,0.0004232909,0.00005652512,0.0006497938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02569606,"threshold_uncertainty_score":0.05109298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437124645209918,"score_gpt":0.245206695930013,"score_spread":0.2208354494779138,"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."}}