{"id":"W2014846510","doi":"10.5539/jas.v3n3p217","title":"Effect of Organic Fertilizer on Growth and Yield Components in Rice (Oryza sativa L.)","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panicle; Randomized block design; Tiller (botany); Fertilizer; Agronomy; Oryza sativa; Mathematics; Organic fertilizer; Yield (engineering); Manure; Chemistry; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005849112,0.0001073684,0.0001991029,0.0000359832,0.00008973934,0.00002791242,0.0003075363,0.0000386401,0.00008803477],"category_scores_gemma":[0.0003154897,0.00002941828,0.00005337387,0.0006903618,0.0001251795,0.0003530619,0.00005781766,0.0001398249,0.000003017537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003179139,"about_ca_system_score_gemma":0.000007813008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258246,"about_ca_topic_score_gemma":0.00003714867,"domain_scores_codex":[0.9988868,0.00006133843,0.000328434,0.0001474284,0.0003919493,0.0001840272],"domain_scores_gemma":[0.9992127,0.0002218937,0.0002875933,0.00002684914,0.0001395451,0.0001114127],"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":[0.00006838733,0.00007915906,0.02461841,0.000007578654,0.000003245458,0.000001921784,0.0002559954,2.94696e-7,0.9724102,0.00005456102,0.00003293029,0.002467316],"study_design_scores_gemma":[0.0001575721,0.001232547,0.699827,0.00005512183,0.000004330527,0.00001230336,0.0002026241,9.552637e-7,0.2984247,0.00002058603,0.000006932818,0.00005529395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981569,0.00003419034,5.306257e-7,0.0003948749,0.0001192112,0.0001209807,8.96264e-7,0.000004549619,0.001167875],"genre_scores_gemma":[0.9997687,0.00003176177,0.00003576313,0.00009296627,0.00003896649,0.000001021427,3.871828e-7,3.199446e-7,0.00003015524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6752086,"threshold_uncertainty_score":0.1199643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019075353226829,"score_gpt":0.2278077264671225,"score_spread":0.1876169729348542,"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."}}