{"id":"W2914850783","doi":"10.1111/1365-2745.13142","title":"Tree species diversity promotes litterfall productivity through crown complementarity in subtropical forests","year":2019,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Species richness; Plant litter; Ecology; Tropical and subtropical moist broadleaf forests; Productivity; Biodiversity; Environmental science; Ecosystem; Agroforestry; Biology; Geography; Subtropics; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003675918,0.00008428848,0.0002603796,0.00003835926,0.0001289897,0.000006203945,0.0002064614,0.00006452005,0.001786636],"category_scores_gemma":[0.00009721277,0.00007110009,0.0000579446,0.00009240225,0.0002394476,0.0002981059,0.000484857,0.000254114,0.00009201485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002061629,"about_ca_system_score_gemma":0.00001508357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118329,"about_ca_topic_score_gemma":0.06512798,"domain_scores_codex":[0.9991014,0.0001250003,0.0002742572,0.0001548845,0.0001307249,0.0002137105],"domain_scores_gemma":[0.9994814,0.0001533655,0.0002209974,0.00009250992,0.00002191243,0.00002981699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008029214,0.0002696069,0.9969522,0.000006970107,0.00002605695,0.00002291294,0.0009203295,0.0002036987,0.0003594232,0.0004425251,0.0006307221,0.00008531412],"study_design_scores_gemma":[0.0006614187,0.0004026582,0.9910066,0.000003627606,0.00001208686,0.00002661644,0.0001358302,0.00009612699,0.00009441605,0.007022075,0.0004693504,0.00006921141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940264,0.00001325376,0.00006669979,0.002592838,0.000385318,0.0001657761,0.000001726285,0.00000374362,0.002744247],"genre_scores_gemma":[0.998544,0.00001262203,0.000900612,0.0001566689,0.00004390095,0.000001395275,8.660965e-7,0.000002843442,0.000337046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06501615,"threshold_uncertainty_score":0.9991258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396323061857748,"score_gpt":0.248477956463533,"score_spread":0.2245147258449555,"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."}}