{"id":"W2414457707","doi":"","title":"[Effects of irrigation amount and stage on water consumption characteristics and grain yield of wheat].","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Irrigation; Agronomy; Water consumption; Environmental science; Precipitation; Water-use efficiency; Soil water; Grain yield; Field experiment; Water use; Yield (engineering); Stage (stratigraphy); Animal science; Environmental engineering; Biology; Soil science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336817,0.0003473606,0.0002914723,0.0002011552,0.0002227228,0.0002164747,0.0003059439,0.0002159745,0.001014868],"category_scores_gemma":[0.0003709617,0.0002121002,0.000456381,0.0003181351,0.0001901885,0.0003185858,0.0001312962,0.0004089339,0.0001459334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004137178,"about_ca_system_score_gemma":0.0002480387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006420837,"about_ca_topic_score_gemma":0.01340945,"domain_scores_codex":[0.9997846,0.00004925189,0.000022053,0.0000835697,0.0000395943,0.00002090821],"domain_scores_gemma":[0.9996499,0.00008140995,0.0001240524,0.00003462917,0.00004936356,0.00006066438],"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":[0.005337168,0.001111828,0.08479812,0.0003052441,0.00042609,0.000167084,0.0001525904,0.001053401,0.8825893,0.000110419,0.0009459227,0.02300286],"study_design_scores_gemma":[0.0002169635,0.00830125,0.9002402,0.00001074691,0.0003251038,0.0001212144,0.0001140725,0.004520841,0.08364756,0.0001202882,0.002328695,0.00005300836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980112,0.0001396399,0.0008178002,0.00002307334,0.00002025366,0.00005110142,0.0005874988,0.00003230971,0.0003170375],"genre_scores_gemma":[0.9954017,0.000123985,0.001769917,0.0001298684,0.000007563431,0.00008577592,0.001572148,0.00001278663,0.0008961759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006420837,"threshold_uncertainty_score":0.01276696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128189027636925,"score_gpt":0.1678404298976608,"score_spread":0.1550215271339684,"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."}}