{"id":"W2921967356","doi":"10.3390/d11030041","title":"The Long and Short of Biodiversity: Cumulative Diversity and Its Drivers","year":2019,"lang":"en","type":"article","venue":"Diversity","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species evenness; Species richness; Biodiversity; Gamma diversity; Alpha diversity; Ecology; Diversity (politics); Beta diversity; Species diversity; Ecosystem; Nestedness; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000783304,0.0001830521,0.0002838934,0.0009515641,0.0005685567,0.001244348,0.000332104,0.0002608926,0.001717682],"category_scores_gemma":[0.003571391,0.0001634232,0.0002011547,0.0007882651,0.001702904,0.00194122,0.001489562,0.0005454414,0.00006747915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007008431,"about_ca_system_score_gemma":0.0003666013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00499709,"about_ca_topic_score_gemma":0.009436187,"domain_scores_codex":[0.9997181,0.00007924107,0.00001366194,0.00008942947,0.0000466276,0.00005289463],"domain_scores_gemma":[0.9976323,0.000973089,0.0006417288,0.0001826185,0.0001530998,0.0004172079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001294693,0.00005510115,0.9503773,0.0001233989,0.0002123501,0.0001492433,0.001738376,0.002973584,0.006873845,0.008343813,0.0002101466,0.02881332],"study_design_scores_gemma":[0.000001713236,0.00005465659,0.9873548,0.00001763392,0.00003098127,0.00008809739,0.001027955,0.003500074,0.0003548578,0.006950314,0.000603784,0.00001498218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957833,0.0005071754,0.002058339,0.000162841,0.000004276881,0.000006372887,0.00009533261,0.000006421792,0.001375876],"genre_scores_gemma":[0.999613,0.00005704929,0.0002171278,0.00001027819,0.00000498493,0.000002714,0.00001955161,0.000002178409,0.00007318312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00499709,"threshold_uncertainty_score":0.009935975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149031257612076,"score_gpt":0.2081909661713809,"score_spread":0.1932878404101733,"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."}}