{"id":"W4233812612","doi":"10.2458/azu_jrm_v54i3_bork","title":"Herbage response to precipitation in central Alberta boreal grasslands","year":2001,"lang":"en","type":"article","venue":"Journal of Range Management","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rangeland; Precipitation; Grassland; Environmental science; Growing season; Boreal; Agronomy; Taiga; Hydrology (agriculture); Geography; Ecology; Agroforestry; Forestry; Biology","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":[0.0008790066,0.000125972,0.0001709989,0.0001997249,0.00004256903,0.00004465901,0.0002807838,0.00002845491,0.0004556317],"category_scores_gemma":[0.00003030329,0.0001032677,0.00008151403,0.0004015261,0.00002123138,0.0002189394,0.0001358499,0.00009888123,0.000146835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714918,"about_ca_system_score_gemma":0.000003371753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002673718,"about_ca_topic_score_gemma":0.0007375942,"domain_scores_codex":[0.9985312,0.0001182649,0.0003897995,0.0001691815,0.0004669566,0.0003246597],"domain_scores_gemma":[0.9994856,0.00005170249,0.0001354399,0.0001673999,0.000007269115,0.0001526396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003645796,0.0005313779,0.7864704,0.00003016569,0.0000891189,0.001241794,0.002809921,0.01424463,0.0002255067,0.000114093,0.09299808,0.09759909],"study_design_scores_gemma":[0.001224045,0.0002109627,0.7728276,0.00004592715,0.00002307797,0.00001361585,0.0002622017,0.0001493962,0.000009926523,0.000139807,0.2249839,0.0001095361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400439,0.00003167616,0.001584885,0.005278401,0.0002666831,0.0003251916,9.046288e-7,0.000006987714,0.05246136],"genre_scores_gemma":[0.9907022,0.0001538675,0.001045485,0.0006934911,0.00008770105,0.00001071002,0.000001412538,0.0000120432,0.007293104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1319858,"threshold_uncertainty_score":0.4988848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006973784931700033,"score_gpt":0.225495831046045,"score_spread":0.2185220461143449,"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."}}