{"id":"W2095602768","doi":"10.1007/s10584-004-0079-z","title":"A Case Study of Carbon Pools Under Three Different Land-Uses in Panam�","year":2004,"lang":"en","type":"article","venue":"Climatic Change","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Smithsonian Tropical Research Institute","keywords":"Pasture; Environmental science; Eddy covariance; Soil water; Organic matter; Tectona; Litter; Forestry; Ecosystem; Agronomy; Soil organic matter; Deciduous; Agroforestry; Ecology; Soil science; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007761652,0.00009615738,0.0001596459,0.00004560978,0.00002562703,0.000008557526,0.00008331953,0.00003651832,0.0000579677],"category_scores_gemma":[0.000004168608,0.00007406597,0.0000228935,0.0001411861,0.00003288503,0.00005291389,0.00009756968,0.00006950963,0.00001081405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321726,"about_ca_system_score_gemma":0.000002366933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01039576,"about_ca_topic_score_gemma":0.0790141,"domain_scores_codex":[0.9993217,0.00002362372,0.0001976067,0.0001450375,0.0001566515,0.0001554038],"domain_scores_gemma":[0.9996856,0.00002563843,0.00005890751,0.0001887767,0.000002026441,0.00003909257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006393167,0.0008496631,0.9859066,0.00002347922,0.00001256005,0.0005451514,0.007129531,0.004580194,0.0001551517,0.00005503792,6.373521e-7,0.00073562],"study_design_scores_gemma":[0.003425583,0.000564052,0.9462909,0.0001428992,0.00009645587,0.0005459634,0.004760826,0.03853518,0.00005453879,0.005182217,0.000004080238,0.0003973332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988281,0.0000189699,0.00002878497,0.00005550722,0.0000421816,0.000456795,0.000008347108,0.00001339852,0.0005479661],"genre_scores_gemma":[0.9998332,0.00001026311,0.00003363327,0.00002936634,0.00000936016,0.00005999101,0.000004734939,0.00000773503,0.00001175857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06861833,"threshold_uncertainty_score":0.9961941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668507352459756,"score_gpt":0.253768209624762,"score_spread":0.1970831361001644,"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."}}