{"id":"W2951984029","doi":"10.1002/ece3.5383","title":"From canopy to seed: Loss of snow drives directional changes in forest composition","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Canopy; Snow; Tree canopy; Environmental science; Composition (language); Ecology; Geography; Biology; Meteorology","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":[0.0001362027,0.0001134518,0.0001584442,0.0003505928,0.0003760188,0.0003947786,0.0001617945,0.000129445,0.001204941],"category_scores_gemma":[0.0003239552,0.0000891229,0.0001236417,0.0003342454,0.0001929729,0.0001912352,0.0002609745,0.0001574778,0.0001430438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458773,"about_ca_system_score_gemma":0.0002251951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219511,"about_ca_topic_score_gemma":0.07716159,"domain_scores_codex":[0.9999045,0.00001204854,0.000006073891,0.0000444085,0.00001475668,0.00001810951],"domain_scores_gemma":[0.9997297,0.00003617894,0.0001037783,0.00001709266,0.00005092225,0.00006235883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007726285,0.00002010588,0.9792627,0.00001578324,0.00003202305,0.00004775495,0.0002255826,0.0002533192,0.0177085,0.00003009983,0.00006766406,0.002259129],"study_design_scores_gemma":[3.888112e-7,0.000007591982,0.9992449,0.000001380347,0.000003620728,0.00002337117,0.0001663472,0.0002908841,0.0001937173,0.0000163046,0.00005038962,0.000001135386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995994,0.00002306754,0.00006781013,0.000003288853,7.853976e-7,0.000001213464,0.0001217765,0.000002886019,0.000179709],"genre_scores_gemma":[0.9996585,0.00001210314,0.00006355123,0.00000489769,6.907914e-7,0.000002016615,0.0001503383,0.000001320677,0.0001065217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02219511,"threshold_uncertainty_score":0.04413182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002961816273769675,"score_gpt":0.181248125542612,"score_spread":0.1782863092688423,"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."}}