{"id":"W2290992024","doi":"10.14288/1.0104699","title":"The use of climatic data to estimate irrigation water requirements in the south central interior of British Columbia","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Irrigation; Water use; Environmental science; Water resource management; Hydrology (agriculture); Geography; Physical geography; Geology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002576124,0.0002737835,0.0002132953,0.001799995,0.0008263521,0.00120628,0.0003668745,0.0001508069,0.000942867],"category_scores_gemma":[0.001815245,0.0002522447,0.0001749976,0.003336607,0.0002372014,0.0001849753,0.0003728188,0.0003074132,0.000160435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004440636,"about_ca_system_score_gemma":0.005132265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9577381,"about_ca_topic_score_gemma":0.9858429,"domain_scores_codex":[0.9996834,0.00003836922,0.00003410625,0.00004938381,0.0001225668,0.00007226216],"domain_scores_gemma":[0.9987628,0.0002406092,0.000156513,0.00004949782,0.0006229178,0.0001675683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000563862,0.00003030105,0.9729442,0.00004907438,0.00006681037,0.0001737044,0.0005655763,0.002045599,0.002331248,0.00006730471,0.001039856,0.02062994],"study_design_scores_gemma":[0.000004042391,0.00000524271,0.9953231,0.0000154597,0.00001121257,0.00002977625,0.0005834113,0.002728237,0.000163071,0.00001376653,0.001113196,0.000009428664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960157,0.0001550009,0.0003389194,0.00003697406,0.000002535556,0.0000239134,0.001339691,0.00002442944,0.002062784],"genre_scores_gemma":[0.9964786,0.0001594211,0.0008376854,0.00001644024,0.000001320934,0.00002525708,0.00160481,0.000006704304,0.0008696232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0422619,"threshold_uncertainty_score":0.0850215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884312084585773,"score_gpt":0.2124008525299102,"score_spread":0.1635577316840525,"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."}}