{"id":"W2058516104","doi":"10.5539/jas.v6n5p110","title":"Agronomic and Ecological Evaluation on Growing Water-Saving and Drought-Resistant Rice (Oryza sativa L.) Through Drip Irrigation","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai City Youth Science and Technology Star Project","keywords":"Agronomy; Drip irrigation; Irrigation; Environmental science; Oryza sativa; Paddy field; Fertilizer; Yield (engineering); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002171337,0.0003043326,0.0003673475,0.0001954314,0.000213226,0.0001656354,0.0002352477,0.0001732199,0.0003245831],"category_scores_gemma":[0.0001192709,0.0001507659,0.0002480827,0.0001667005,0.0001646465,0.0002129879,0.0001934032,0.0002735651,0.00004743447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257529,"about_ca_system_score_gemma":0.0003212512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342581,"about_ca_topic_score_gemma":0.006103035,"domain_scores_codex":[0.9999098,0.00001632035,0.000007820448,0.00003001815,0.0000194244,0.0000165828],"domain_scores_gemma":[0.9998693,0.00001876067,0.00003421842,0.00001169848,0.00002203922,0.00004388188],"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":[0.0005624662,0.0003617034,0.003498336,0.00008664939,0.00002213559,0.00007084909,0.00007845983,0.0003568585,0.9915228,0.00001517571,0.00002340921,0.003401193],"study_design_scores_gemma":[0.0003385493,0.03600828,0.4386551,0.00001463555,0.0003353456,0.0003275154,0.0003634328,0.00357231,0.5186231,0.0000951289,0.001595351,0.00007132079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996651,0.00003585214,0.0001674734,0.000005153095,0.00000135801,0.00001051469,0.00004295923,0.000007185441,0.00006437245],"genre_scores_gemma":[0.9982475,0.0001251205,0.001027105,0.00002162042,0.000001708082,0.0000270826,0.0002138665,0.000003922466,0.0003321439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00342581,"threshold_uncertainty_score":0.006811738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485248680222015,"score_gpt":0.2468865974025951,"score_spread":0.2220341106003749,"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."}}