{"id":"W4251757481","doi":"10.5194/essd-2018-122","title":"An 11-yr (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"","keywords":"Hydrometeorology; Environmental science; Water content; Precipitation; Hydrology (agriculture); Structural basin; Soil water; Moisture; Remote sensing; Meteorology; Soil science; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006944507,0.0003448571,0.0002725524,0.00001149042,0.0003534065,0.00029863,0.0007848436,0.0002777656,0.0002757911],"category_scores_gemma":[0.00002253687,0.0001862197,0.00003997619,0.0001036129,0.0003405292,0.0001412998,0.0005742785,0.0006107529,0.00002785183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997415,"about_ca_system_score_gemma":0.0001387365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915155,"about_ca_topic_score_gemma":0.9997718,"domain_scores_codex":[0.9974186,0.0004472534,0.0003317569,0.0007958332,0.0005663001,0.0004402024],"domain_scores_gemma":[0.9982235,0.0002667207,0.0001677868,0.001220824,0.00001471404,0.000106486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000214245,0.00003135056,0.1097701,0.000006810138,0.00002432018,0.00003556518,0.003042573,0.003282989,0.00002705127,0.000001136618,0.8775461,0.006210602],"study_design_scores_gemma":[0.0001724294,0.00002392756,0.8686257,0.00005883397,0.00005745844,0.00001498887,0.001949034,0.001411511,0.0000422801,0.001141356,0.1261756,0.0003268878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890468,0.0001806892,0.0002270794,0.003224021,0.001263443,0.0006299452,0.0004683153,0.00002699831,0.004932775],"genre_scores_gemma":[0.9837894,0.0000365272,0.00153042,0.008378141,0.001312374,0.000005531427,0.004459925,0.00002977685,0.0004578604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7588556,"threshold_uncertainty_score":0.7593821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009111190464965715,"score_gpt":0.2176879347703032,"score_spread":0.2085767443053375,"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."}}