{"id":"W2963892565","doi":"10.5539/jas.v11n13p134","title":"Litter Production and Accumulation as an Indicator of Degradation in Caatinga","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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Litter; Ecosystem; Plant litter; Environmental science; Nutrient cycle; Nutrient; Cycling; Ecology; Forestry; Agronomy; Animal science; Biology; Geography","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":[0.0004170631,0.00004656796,0.00008136051,0.0000230369,0.00005204917,0.00001264081,0.0001110606,0.00001987229,0.0001064355],"category_scores_gemma":[0.00008715603,0.0000223647,0.00001462872,0.0002355564,0.0002140538,0.0007554371,0.00007319732,0.00006279805,0.00001362371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008661856,"about_ca_system_score_gemma":0.000003163612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006866735,"about_ca_topic_score_gemma":0.00003185726,"domain_scores_codex":[0.9992989,0.00002356871,0.0001814721,0.0001233993,0.0002856766,0.00008699694],"domain_scores_gemma":[0.9996959,0.00001541312,0.000203356,0.00003330323,0.000008956414,0.00004306561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005698569,0.00003005214,0.5805414,0.000001304936,5.642979e-7,1.66471e-7,0.0002076042,0.0001931596,0.4159715,0.000006911811,0.000009402997,0.003032263],"study_design_scores_gemma":[0.00005504122,0.0002091996,0.9718028,0.00001421171,0.000002125098,0.00001924458,0.0004247426,0.00001258027,0.02733373,0.00006997822,0.00001626749,0.00004009484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992376,0.00001680784,9.639641e-7,0.0003330865,0.00006056734,0.00007697938,2.270971e-7,0.000001411982,0.0002723735],"genre_scores_gemma":[0.9994479,0.00002969992,0.0004231728,0.00002497011,0.00002046515,5.360308e-7,2.790396e-7,5.6245e-7,0.00005238723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3912614,"threshold_uncertainty_score":0.1165394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628112271039149,"score_gpt":0.2446489582108194,"score_spread":0.2283678355004279,"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."}}