{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484641,0.0001311146,0.0001699921,0.00002073282,0.0005181599,0.0002307715,0.0001996979,0.00005381371,0.00004956001],"category_scores_gemma":[0.0002778131,0.00003681203,0.00004890505,0.0002535092,0.0001532942,0.00117863,0.0000733417,0.0001424649,0.000004571383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236063,"about_ca_system_score_gemma":0.0000116167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004051036,"about_ca_topic_score_gemma":0.00002791105,"domain_scores_codex":[0.9984705,0.0001157165,0.0003536931,0.0002536055,0.0005568966,0.0002495331],"domain_scores_gemma":[0.9991175,0.0001891767,0.0002632292,0.00003232896,0.0002745336,0.0001232622],"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":[0.00001326599,0.00003724515,0.0004525648,0.000003250177,0.000003800422,3.285024e-7,0.000302296,0.00004613627,0.9835402,0.0009673301,0.00005394506,0.01457958],"study_design_scores_gemma":[0.0002554868,0.0007006976,0.9644116,0.00004285342,0.00001718217,0.00001784226,0.001078787,0.0001791522,0.03158626,0.001103917,0.0004750358,0.0001312501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940689,0.00003834473,0.00001051443,0.00452989,0.0001940321,0.0001691311,6.304163e-7,0.00001083517,0.0009777131],"genre_scores_gemma":[0.999013,0.00002430129,0.0002648939,0.0004172052,0.0002344522,0.000003350635,0.00000308531,4.682692e-7,0.00003923484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.963959,"threshold_uncertainty_score":0.3985319,"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."}}