{"id":"W2097261774","doi":"10.5376/msb.2015.06.0001","title":"Medicinal and aromatic plants for soil and water conservation: An economic analysis, Nilgiris, Tamil Nadu, India","year":2015,"lang":"en","type":"article","venue":"Molecular Soil Biology","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tamil; Aromatic plants; Soil conservation; Agroforestry; Geography; Environmental science; Agriculture; Biology; Botany; Archaeology","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":[0.0003603651,0.0001382899,0.0002705877,0.00002102436,0.0001165235,0.00006702456,0.000115813,0.0001380898,0.00003274096],"category_scores_gemma":[0.00002409334,0.00004955737,0.0000464829,0.00004400439,0.0001045885,0.0001340448,0.00005791653,0.00006182879,0.00000988937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001683605,"about_ca_system_score_gemma":0.00001109291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309148,"about_ca_topic_score_gemma":0.002964379,"domain_scores_codex":[0.9991013,0.0001002781,0.0002145841,0.0003257162,0.0000335019,0.0002246528],"domain_scores_gemma":[0.9995295,0.0001235778,0.0001040548,0.00005073074,0.00002404118,0.0001680427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006022576,0.000205004,0.3467472,0.00005034273,0.00188279,0.00004083181,0.001814967,0.0002676642,0.5458727,0.004149409,0.003341732,0.09502506],"study_design_scores_gemma":[0.003830694,0.005820233,0.7380209,0.00003015896,0.001366772,0.0003456852,0.005095521,0.01979341,0.04239352,0.04089726,0.1401051,0.002300735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954498,0.0005859649,0.00001351167,0.003456791,0.00008630488,0.0001398924,0.00006070088,0.00001786699,0.0001891197],"genre_scores_gemma":[0.9978233,0.0001356011,0.00009747869,0.001039441,0.000111952,0.00002239758,0.0007348779,9.738395e-7,0.00003400332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5034792,"threshold_uncertainty_score":0.2020891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357475445156661,"score_gpt":0.2416064884697897,"score_spread":0.2180317340182231,"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."}}