{"id":"W2512190487","doi":"10.1139/cjss-2016-0020","title":"Relationships between soil hydraulic properties, drainage efficiency and cranberry yields","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Drawdown (hydrology); Drainage; Water table; Environmental science; Irrigation; Watertable control; Well drainage; Soil salinity control; Hydrology (agriculture); Soil science; Crop yield; Soil water; Agronomy; Soil fertility; Geology; Soil salinity; Leaching model; Groundwater; Geotechnical engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586824,0.00008030479,0.000103842,0.00007345423,0.0007625967,0.0002167978,0.0004035162,0.00004479844,0.00008613917],"category_scores_gemma":[0.0003737263,0.00002584488,0.00003337088,0.0004665692,0.0004882162,0.0009003744,0.00003462535,0.0001377918,0.00001946949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008635822,"about_ca_system_score_gemma":0.0002148004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005963732,"about_ca_topic_score_gemma":0.02312492,"domain_scores_codex":[0.998915,0.00006281316,0.0002488936,0.000168292,0.0002817538,0.0003232851],"domain_scores_gemma":[0.9989408,0.0001064717,0.0001828271,0.00005028374,0.0001566377,0.0005630436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002767831,0.00005661962,0.4740418,0.00003038821,0.00004032418,0.0001362606,0.003639867,0.0001811589,0.06653564,0.008402929,0.0025001,0.4444073],"study_design_scores_gemma":[0.0002169539,0.0003014766,0.9524261,0.0001459823,0.00002577414,0.00005826173,0.000812578,0.0001012471,0.001976317,0.003917022,0.03977862,0.0002396237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770908,0.0001575668,0.00005561923,0.01743063,0.0001492884,0.00006429977,0.000005075477,0.000005954589,0.005040777],"genre_scores_gemma":[0.9989703,0.00001683681,0.00002742953,0.0001979725,0.0001522701,0.000001018591,3.312804e-7,6.401667e-7,0.0006332297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4783844,"threshold_uncertainty_score":0.9947005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538140910808688,"score_gpt":0.2082854984477072,"score_spread":0.1629040893396203,"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."}}