{"id":"W2942588735","doi":"10.5539/jas.v11n6p308","title":"Synchronism of Production and Degradation of Litter in Fragment of Dry Tropical Forest in Paraiba, Brazil","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Litter; Environmental science; Deposition (geology); Plant litter; Nutrient cycle; Nutrient; Wet season; Vegetation (pathology); Cycling; Dry season; Ecosystem; Forestry; Animal science; Agronomy; Ecology; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002615062,0.0000557862,0.0001649824,0.00002846186,0.00001839222,0.000003430024,0.0001304507,0.00002535051,0.00003874881],"category_scores_gemma":[0.00004712678,0.00002682436,0.00002902091,0.0002646162,0.0004746226,0.0002795383,0.0001054581,0.00007331735,0.000001461374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104149,"about_ca_system_score_gemma":0.000004122369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001342925,"about_ca_topic_score_gemma":0.0002044706,"domain_scores_codex":[0.9990887,0.00002362907,0.0003376555,0.0001162864,0.0003282567,0.0001054491],"domain_scores_gemma":[0.9996408,0.00002224636,0.0002569401,0.00003971344,0.00001093175,0.00002931966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001139747,0.00007155675,0.6796615,0.000006499908,0.000001026553,2.86733e-7,0.00008544462,0.0004774923,0.3184985,0.00001398779,0.000006787496,0.00116549],"study_design_scores_gemma":[0.0001532825,0.0003415128,0.9642828,0.00006133803,0.000002516311,0.000005353525,0.0002104869,0.00001502236,0.03477786,0.00009889778,0.00001286714,0.00003810885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992793,0.0000891364,0.000003870648,0.000331747,0.00004768748,0.00009844669,6.857179e-7,4.805676e-7,0.0001486357],"genre_scores_gemma":[0.999307,0.000129386,0.0004995057,0.00001108552,0.000009862586,6.841294e-7,2.164517e-7,5.356722e-7,0.00004175451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2846212,"threshold_uncertainty_score":0.1748767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006609990357668939,"score_gpt":0.2036154482206691,"score_spread":0.1970054578630002,"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."}}