{"id":"W2198129509","doi":"","title":"Effect of chemical and organic fertilizer levels on growth and yield of sweet sorghum","year":2007,"lang":"en","type":"article","venue":"The Indian Journal of Crop Science/The Indian journal of crop science","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorghum; Wheat flour; Food science; Gene; Biology; High protein; Triticum turgidum; Agronomy; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000192285,0.0003968023,0.0003791998,0.0002690971,0.0002909193,0.0004853802,0.0003634445,0.0004819363,0.001728381],"category_scores_gemma":[0.0006383504,0.0002755942,0.0001795338,0.0002081997,0.0003038035,0.000252313,0.0002549534,0.0004698114,0.000287335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008026494,"about_ca_system_score_gemma":0.0006829362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009429704,"about_ca_topic_score_gemma":0.01628717,"domain_scores_codex":[0.9997534,0.00005624068,0.00002811593,0.00006783351,0.00005189976,0.00004259511],"domain_scores_gemma":[0.9988084,0.0003562952,0.0002062688,0.00005921446,0.0001397469,0.0004301546],"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":[0.01128788,0.0008404395,0.005832921,0.0002241458,0.00009729734,0.0002367849,0.0001314639,0.0005253867,0.9730024,0.000106075,0.0002394773,0.007475676],"study_design_scores_gemma":[0.000651399,0.01619821,0.1297836,0.00008238598,0.0003390893,0.0004786162,0.0008173027,0.004875897,0.8374079,0.0003728677,0.008875876,0.000116966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979411,0.0007086121,0.0001663629,0.0001048896,0.00003386688,0.00001552125,0.0003352022,0.00002553526,0.0006689751],"genre_scores_gemma":[0.996074,0.0003572949,0.0004495232,0.0001277712,0.00001184709,0.00002076007,0.0004047316,0.0000202971,0.002533779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009429704,"threshold_uncertainty_score":0.01874959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364863339538254,"score_gpt":0.2402769224096203,"score_spread":0.2266282890142378,"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."}}