{"id":"W2113426111","doi":"10.21273/hortsci.47.3.414","title":"Effects of Drip Irrigation Configuration and Rate on Yield and Fruit Quality of Young Highbush Blueberry Plants","year":2012,"lang":"en","type":"article","venue":"HortScience","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Drip irrigation; Irrigation; Sowing; Loam; Agronomy; Water potential; Yield (engineering); Water content; Environmental science; Soil water; Horticulture; Biology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005135029,0.00005010375,0.00008748177,0.000009981605,0.00008193442,0.00001861068,0.00005939335,0.00003869846,0.00003093837],"category_scores_gemma":[0.0001274734,0.0000210064,0.00001234193,0.0001224426,0.0001325882,0.000109056,0.00002474597,0.00003848798,0.000001206317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003513082,"about_ca_system_score_gemma":0.000004164523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002223628,"about_ca_topic_score_gemma":0.00007348468,"domain_scores_codex":[0.9993592,0.00005325156,0.000139392,0.0001236836,0.0002029667,0.0001215319],"domain_scores_gemma":[0.9994761,0.0002930951,0.00008979489,0.00002765296,0.00004949671,0.00006391037],"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":[0.00001200753,0.00003570131,0.04614727,0.00001578806,0.000001429472,8.422726e-8,0.0001585336,6.308857e-7,0.9367675,0.00161393,0.00002058769,0.01522659],"study_design_scores_gemma":[0.00004352734,0.00009253393,0.7696763,0.00001772228,0.000001321401,4.57636e-7,0.00008133996,0.00002598197,0.2298186,0.0001513499,0.0000539866,0.00003689133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988251,0.0001260079,0.00000946629,0.000115544,0.00005274701,0.000136868,0.000006567107,0.000004602802,0.0007231185],"genre_scores_gemma":[0.9997603,0.00006919292,0.00001481339,0.0000367663,0.00002557958,0.000004769554,0.000004230824,2.497495e-7,0.00008409745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.723529,"threshold_uncertainty_score":0.08566163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117686409815046,"score_gpt":0.2831596533468667,"score_spread":0.2319827892487163,"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."}}