{"id":"W3089050291","doi":"10.3389/fpls.2020.574592","title":"Exploring Black Soldier Fly Frass as Novel Fertilizer for Improved Growth, Yield, and Nitrogen Use Efficiency of Maize Under Field Conditions","year":2020,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; International Development Research Centre","keywords":"Frass; Fertilizer; Urea; Nitrogen; Animal science; Hermetia illucens; Agronomy; Chemistry; Biology; Botany","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":[0.0001992739,0.0001020589,0.0001579902,0.00003574081,0.0001921481,0.0000645148,0.0002341285,0.00005155634,0.00002218125],"category_scores_gemma":[0.0005887424,0.000050364,0.00003977821,0.0005522815,0.0002442687,0.0004338696,0.00006418355,0.00007810952,0.000001468149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001653956,"about_ca_system_score_gemma":0.00002605613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123272,"about_ca_topic_score_gemma":0.00004647292,"domain_scores_codex":[0.9990544,0.00001270866,0.0001778438,0.0003165576,0.0001560641,0.0002824453],"domain_scores_gemma":[0.9994193,0.0002859853,0.00006133028,0.00004050291,0.00006915502,0.0001236868],"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":[0.0001603301,0.00007537683,0.01801064,0.00002852208,0.00000736844,0.000001545016,0.0006123282,0.00005734153,0.9767719,0.001581402,0.001734113,0.00095916],"study_design_scores_gemma":[0.001718742,0.002007636,0.1481462,0.0002047247,0.00005055196,0.00001539294,0.00586238,0.08741187,0.7456229,0.005960825,0.002012323,0.000986441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933108,0.00002121186,0.004646571,0.001118686,0.0002786235,0.0003260774,0.0001502257,0.00002403268,0.0001237666],"genre_scores_gemma":[0.9976543,0.00004410305,0.0009150921,0.001289302,0.00003605517,0.00002233532,0.0000187537,9.636358e-7,0.00001905659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311489,"threshold_uncertainty_score":0.2053784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08114134982681974,"score_gpt":0.2331259353443405,"score_spread":0.1519845855175207,"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."}}