{"id":"W2750113781","doi":"10.1002/ecy.1990","title":"Demographic drivers of functional composition dynamics","year":2017,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wageningen University and Research Centre; McGill University; National Science Foundation","keywords":"Ecological succession; Trait; Ecology; Biology; Ecosystem; Population; Secondary succession; Primary succession; Functional ecology; Biomass (ecology); Forest dynamics; Demography","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":[0.001141297,0.0001988539,0.0001987261,0.0008839349,0.0004338113,0.0006734264,0.0002545296,0.000244432,0.001297588],"category_scores_gemma":[0.0035784,0.000168426,0.0002217115,0.0004858745,0.0003909343,0.0006719688,0.0005242947,0.000343759,0.0001343085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009080972,"about_ca_system_score_gemma":0.0003608037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005725098,"about_ca_topic_score_gemma":0.009050421,"domain_scores_codex":[0.9997645,0.00006824981,0.00001676907,0.00007423399,0.00004099997,0.00003525168],"domain_scores_gemma":[0.9984908,0.0004328977,0.0005870056,0.0001001172,0.0002585549,0.0001305441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006256815,0.00002849758,0.9590716,0.0000575504,0.00007963214,0.00007555658,0.0004099144,0.003043033,0.01042669,0.004703991,0.0002355405,0.02180541],"study_design_scores_gemma":[0.000003610573,0.00002606171,0.9782006,0.000009815219,0.00002440643,0.00009277734,0.0003471656,0.01597061,0.0005725134,0.003129635,0.001611575,0.00001128873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948335,0.0003174732,0.002858075,0.0001359782,0.000005071291,0.00001108661,0.0003350228,0.00001808051,0.001485571],"genre_scores_gemma":[0.9985695,0.0001279755,0.0008900753,0.00001468959,0.000009580831,0.00001279432,0.000149895,0.000003991467,0.0002216139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005725098,"threshold_uncertainty_score":0.01138353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007797641348074574,"score_gpt":0.2185091205327662,"score_spread":0.2107114791846917,"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."}}