{"id":"W4206924568","doi":"10.3389/fbioe.2021.787764","title":"Tailored Bioactive Compost from Agri-Waste Improves the Growth and Yield of Chili Pepper and Tomato","year":2022,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Higher Education Commision, Pakistan; Alberta Agricultural Research Institute","keywords":"Compost; Biofertilizer; Fertilizer; Rhizobacteria; Microbial inoculant; Crop; Agronomy; Biomass (ecology); Green waste; Phosphate solubilizing bacteria; Food waste; Nutrient; Crop yield; Biology; Biotechnology; Chemistry; Inoculation; Horticulture; Rhizosphere; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001242709,0.0001355192,0.000222979,0.00006151445,0.0001800649,0.00001934261,0.0001931631,0.000118817,0.000002541287],"category_scores_gemma":[0.00004875812,0.00006173225,0.00002409643,0.000251053,0.0002435134,0.00003105658,0.0003933681,0.000293718,3.815322e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001196139,"about_ca_system_score_gemma":0.000002513822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009115852,"about_ca_topic_score_gemma":0.00003262068,"domain_scores_codex":[0.9992763,0.00003225307,0.0001668447,0.0002738923,0.00006790495,0.0001827751],"domain_scores_gemma":[0.9996799,0.0001489278,0.00006620865,0.00006624564,0.00000940668,0.00002933368],"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":[0.00004318617,0.00003113166,0.01638911,0.00001313261,0.00002539191,0.000003180405,0.0001668009,0.000004993974,0.9456262,0.0002578737,0.0001828057,0.03725617],"study_design_scores_gemma":[0.001102132,0.003210575,0.3441071,0.0002860769,0.00009696984,0.0002564091,0.01541615,0.02842269,0.5949236,0.00610589,0.00467665,0.001395726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937246,0.00239093,0.00008237112,0.003279275,0.0001443821,0.0001497031,0.00006537365,0.0001491093,0.00001421235],"genre_scores_gemma":[0.997647,0.0004175205,0.001828472,0.00004643796,0.00002691104,0.00001483944,0.00001299661,0.000001807319,0.00000396258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3507026,"threshold_uncertainty_score":0.2517368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00651840466261427,"score_gpt":0.169366186249837,"score_spread":0.1628477815872227,"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."}}