{"id":"W2121435073","doi":"10.5539/sar.v1n2p115","title":"Vermicompost as Substrate Amendment for Tomato Transplant Production","year":2012,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, Youth and Science","keywords":"Vermicompost; Solanum; Amendment; Agronomy; Nutrient; Potting; Biomass (ecology); Shoot; Substrate (aquarium); Eisenia fetida; Horticulture; Chemistry; Biology; Food science; Earthworm; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001637741,0.0004407487,0.0003651092,0.0004364082,0.0002577677,0.0004999738,0.0002973818,0.0002683293,0.001451837],"category_scores_gemma":[0.0001873578,0.0001097191,0.0002317101,0.0003964943,0.0001182038,0.0002739326,0.0002840853,0.0003533911,0.00028042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004457705,"about_ca_system_score_gemma":0.0004303509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317892,"about_ca_topic_score_gemma":0.008368831,"domain_scores_codex":[0.9998413,0.00003046274,0.00001814778,0.00004701318,0.00003969083,0.00002330488],"domain_scores_gemma":[0.9998204,0.00002850912,0.00004417946,0.000008827704,0.00002456215,0.00007347617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002126934,0.00004776667,0.0007883105,0.0001001843,0.000009763743,0.00009540882,0.00001281467,0.0001249691,0.9957756,0.00001566915,0.00002719758,0.002789603],"study_design_scores_gemma":[0.0000230333,0.001993268,0.02631955,0.00007624107,0.000128097,0.0002225592,0.0001298952,0.0006127671,0.9666367,0.00004686168,0.003791965,0.00001902306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968346,0.0009528921,0.0004643482,0.0000266076,0.00002065245,0.0000322073,0.0002973317,0.00002234162,0.001349001],"genre_scores_gemma":[0.9956064,0.0006739134,0.00160251,0.0000302362,0.000004606311,0.00002585381,0.0004577954,0.0000140205,0.001584712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002317892,"threshold_uncertainty_score":0.004856944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05968352886418212,"score_gpt":0.3387725062268647,"score_spread":0.2790889773626826,"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."}}