{"id":"W4229008898","doi":"10.1002/ecy.3745","title":"Multitrophic diversity and biotic associations influence subalpine forest ecosystem multifunctionality","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Species richness; Trophic level; Ecology; Biodiversity; Ecosystem; Biology; Context (archaeology); Ecological network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004185915,0.0003478528,0.0002599026,0.0008839803,0.0003401942,0.0007965777,0.0001810074,0.0001709116,0.0007875275],"category_scores_gemma":[0.001010935,0.0001174931,0.0002866152,0.0004875698,0.0004596883,0.0005062835,0.000725373,0.0001950849,0.00006498452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252611,"about_ca_system_score_gemma":0.0002531721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007344516,"about_ca_topic_score_gemma":0.01879184,"domain_scores_codex":[0.9997416,0.00009102255,0.00001341358,0.00005692858,0.00004844319,0.00004856545],"domain_scores_gemma":[0.9991509,0.0002395666,0.0002940949,0.00006865353,0.00008501122,0.0001617275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001004701,0.00003006623,0.9702169,0.00006142959,0.0002225848,0.0002038173,0.000427175,0.000452753,0.01874352,0.0001367085,0.00003260168,0.009371957],"study_design_scores_gemma":[4.409304e-7,0.0000101564,0.9993277,0.000002811139,0.00001549537,0.00003112578,0.0001003572,0.0002797722,0.0001170351,0.00005538456,0.00005814701,0.000001709018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990176,0.0001897719,0.0002784873,0.00001131153,0.000001018366,0.000002730129,0.00004089392,0.000005748843,0.0004523224],"genre_scores_gemma":[0.9997413,0.0000549373,0.0001225551,0.000003038071,0.000001813483,0.000001112693,0.00002668748,9.760373e-7,0.00004762818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007344516,"threshold_uncertainty_score":0.01460356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017684072831098,"score_gpt":0.2081639269407607,"score_spread":0.1979870862124498,"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."}}