{"id":"W2375350357","doi":"","title":"Study on combined N, P, K, organic fertilization on rice yield and component factors","year":2005,"lang":"en","type":"article","venue":"Dongbei Nongye Daxue xuebao","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Potash; Fertilizer; Yield (engineering); Human fertilization; Agronomy; Organic fertilizer; Potassium; Phosphate; Phosphate fertilizer; Mathematics; Chemistry; Biology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005451667,0.0002244525,0.0001916699,0.0001233908,0.000149264,0.0000516106,0.0001269503,0.0000637119,0.00005067204],"category_scores_gemma":[0.00002201728,0.0002074301,0.00002898315,0.0002989869,0.0000205339,0.000134125,0.00003018557,0.0002013313,0.00009647421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000833274,"about_ca_system_score_gemma":0.000005194676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001025691,"about_ca_topic_score_gemma":0.00004387231,"domain_scores_codex":[0.9990914,0.00001256233,0.0002214085,0.0002716818,0.0001796887,0.0002232733],"domain_scores_gemma":[0.9993852,0.0001198144,0.00003544511,0.000325791,0.00002888522,0.0001048583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006269226,0.01589814,0.07631285,0.0004427342,0.001404961,0.0001188984,0.02805797,0.444676,0.3018169,0.03024404,0.0151773,0.08522334],"study_design_scores_gemma":[0.006299128,0.002347253,0.7621553,0.0001975546,0.0002170879,0.00001338323,0.004798067,0.07275356,0.1070302,0.000546635,0.04092125,0.002720566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926209,0.00003793767,0.003781762,0.0001622583,0.0001390127,0.0004980875,0.00002399919,0.0003330018,0.002403076],"genre_scores_gemma":[0.9992112,0.00002118852,0.0001871003,0.00008942947,0.0000939668,0.00004817054,0.00004660619,0.00004866762,0.0002536724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6858425,"threshold_uncertainty_score":0.8458753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202948005409829,"score_gpt":0.2430629512152009,"score_spread":0.222768150674218,"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."}}