{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008688129,0.0000565288,0.00007890007,0.000009283009,0.00005169375,0.000004172329,0.00003698603,0.0000238795,0.00006092404],"category_scores_gemma":[0.00001106622,0.00003136575,0.000010909,0.00002256266,0.0003148338,0.0001114749,0.00004982066,0.00002857561,0.000007373443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001852889,"about_ca_system_score_gemma":2.801505e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008687822,"about_ca_topic_score_gemma":0.000010593,"domain_scores_codex":[0.999503,0.00001581519,0.00009983358,0.0001215742,0.0001467319,0.0001130824],"domain_scores_gemma":[0.999834,0.00002932024,0.00004719612,0.00003634836,0.000001098093,0.00005201344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002226431,0.00009508421,0.5030448,0.00005585497,0.000004691412,0.000004502394,0.0006351154,0.000005434806,0.4610513,0.0000383692,0.0001052721,0.03493733],"study_design_scores_gemma":[0.00008206209,0.0000317926,0.8220504,0.000004919765,0.000003334092,0.000002865254,0.00001085174,0.000008109222,0.1775872,0.00003006696,0.0001466161,0.00004179855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993142,0.00001963032,0.00000297015,0.0001060784,0.00003566266,0.0002372186,0.000005215501,0.00000430772,0.000274736],"genre_scores_gemma":[0.9992308,0.0001441873,0.00002270068,0.00005041902,0.000006053455,0.00003791271,0.000003139235,0.000001426489,0.0005033872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3190056,"threshold_uncertainty_score":0.1279058,"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."}}