{"id":"W4362590245","doi":"10.1111/jbi.14613","title":"The integration of the small‐island effect and nestedness pattern","year":2023,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Nestedness; Ecology; Range (aeronautics); Species richness; Taxon; Insular biogeography; Biogeography; Taxonomic rank; Metric (unit); Invertebrate; Biology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0005070715,0.00004430503,0.00007552053,0.00004130012,0.0001860976,0.000011265,0.0001177542,0.00002545402,0.000006679532],"category_scores_gemma":[0.00004712466,0.00001956226,0.00007793723,0.0003238413,0.0002508875,0.00004078629,0.00006352177,0.00008322747,0.000003153295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004959696,"about_ca_system_score_gemma":0.000002219966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002688365,"about_ca_topic_score_gemma":0.001113777,"domain_scores_codex":[0.9995568,0.00008325055,0.0001510065,0.00004241455,0.00009749056,0.00006896964],"domain_scores_gemma":[0.9994976,0.0002329938,0.0001791431,0.00006151383,0.00001381216,0.00001497358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009620255,0.000006534044,0.9880993,0.000003374729,0.00002609503,0.000001014819,0.0002591239,0.00004410972,0.0009040204,0.0000186134,0.0002219924,0.01040624],"study_design_scores_gemma":[0.0001509056,0.0001096439,0.9979749,0.00001459463,0.00002164332,0.000008692681,0.0001538736,0.0002568952,0.0003116647,0.0007383073,0.0002356315,0.00002324758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998423,0.0001327265,0.0001106226,0.0008321387,0.0002484761,0.00005841428,0.000002007412,0.000002654177,0.0001899092],"genre_scores_gemma":[0.9996099,0.0002812059,0.00001208663,0.00004411704,0.00001312187,0.000001733247,3.093545e-7,0.000001951001,0.00003559693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038299,"threshold_uncertainty_score":0.1431331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006694977820740064,"score_gpt":0.2197190619679557,"score_spread":0.2130240841472156,"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."}}