{"id":"W3005464312","doi":"10.17521/cjpe.2018.0183","title":"Community assembly, diversity patterns and distributions of broad-leaved forests in North China","year":2019,"lang":"en","type":"article","venue":"Chinese Journal of Plant Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; Royal Society; National Natural Science Foundation of China; McGill University; Princeton University","keywords":"China; Diversity (politics); Geography; Ecology; Forestry; Environmental science; Agroforestry; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000458029,0.0002135082,0.0002183278,0.002056432,0.0006622981,0.0003536644,0.0002108436,0.0001238603,0.0006272505],"category_scores_gemma":[0.0004734421,0.0001552421,0.0001931093,0.0009919212,0.0004309143,0.0003489165,0.0004329853,0.00008791868,0.00005067979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000707554,"about_ca_system_score_gemma":0.0006574942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02779236,"about_ca_topic_score_gemma":0.06945616,"domain_scores_codex":[0.9996462,0.000057013,0.00002493195,0.0001102139,0.00007154634,0.00009019463],"domain_scores_gemma":[0.9995366,0.0000590368,0.0001452388,0.00002995731,0.0001091671,0.000119993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006176128,0.00002276274,0.9788775,0.0000609396,0.00006297317,0.0001419103,0.001884418,0.0005243479,0.006172848,0.0001517205,0.0001071047,0.01193164],"study_design_scores_gemma":[0.000002107413,0.000008287551,0.998925,0.000003662801,0.000004608979,0.00002662787,0.00023632,0.0005616277,0.00006945001,0.0000540121,0.0001052912,0.000002821451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996341,0.00009585291,0.00008162011,0.000008664548,5.145935e-7,0.000002795637,0.00005562501,0.000001864691,0.0001189605],"genre_scores_gemma":[0.9995186,0.00005579172,0.0001568638,0.000004398607,0.000001639256,0.000004894003,0.0001419049,6.461979e-7,0.000115272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02779236,"threshold_uncertainty_score":0.05526119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006928576413484543,"score_gpt":0.2188495975273822,"score_spread":0.2119210211138976,"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."}}