{"id":"W2114622872","doi":"10.1111/j.1466-882x.2004.00072.x","title":"Variation in litterfall‐climate relationships between coniferous and broadleaf forests in Eurasia","year":2004,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Plant litter; Temperate rainforest; Temperate climate; Environmental science; Taiga; Subtropics; Precipitation; Temperate forest; Litter; Ecology; Geography; Forestry; Ecosystem; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000232208,0.0000889792,0.0001121929,0.0000808796,0.00008821165,0.00001882185,0.00005431594,0.0001643187,0.000009707276],"category_scores_gemma":[0.00000912011,0.00008493656,0.00001759009,0.0003871111,0.0001435728,0.0001347545,0.00007255631,0.0001271163,0.00001500134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006208722,"about_ca_system_score_gemma":0.000004781891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009420529,"about_ca_topic_score_gemma":0.01842123,"domain_scores_codex":[0.9992651,0.00006215522,0.0001780856,0.0002210206,0.0000551823,0.0002185084],"domain_scores_gemma":[0.9998055,0.00003207972,0.00004236956,0.00006527556,0.000002366222,0.00005247748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001064092,0.00002940196,0.9970611,0.000002609319,0.000004790752,0.00001109116,0.00008989971,0.0006776225,0.0000132046,0.001623437,0.000001257369,0.0004749532],"study_design_scores_gemma":[0.0005978957,0.00005300057,0.975692,0.000007558183,0.000009745712,0.00002133783,0.00001277173,0.0002688893,9.203184e-7,0.02321319,0.00003104411,0.00009169032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984486,0.00006315906,0.00004437278,0.0003807214,0.00003285453,0.0001455473,0.00005805691,0.0000151236,0.0008116252],"genre_scores_gemma":[0.999435,0.0001131499,0.000337246,0.0000602174,0.000005566643,0.000007963298,0.00003709742,0.00000224745,0.000001477813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02158975,"threshold_uncertainty_score":0.99949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006718141502504467,"score_gpt":0.2004058265673219,"score_spread":0.1936876850648174,"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."}}