{"id":"W2752059719","doi":"10.1002/ecs2.1891","title":"Jointly modeling niche width and phylogenetic distance to explain species co‐occurrence","year":2017,"lang":"en","type":"article","venue":"Ecosphere","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"W. Garfield Weston Foundation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Niche; Phylogenetic tree; Biology; Coexistence theory; Ecology; Competition (biology); Ecological niche; Niche differentiation; Competitive exclusion; Co-occurrence; Clade; Phylogenetic comparative methods; Phylogenetics; Cyperaceae; Interspecific competition; Evolutionary biology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001170974,0.0001028676,0.000117369,0.000004372122,0.0006845812,0.00005825507,0.0002265708,0.00003661851,0.0008277012],"category_scores_gemma":[0.00008850259,0.00009698872,0.00001966922,0.0000256476,0.0001898485,0.0001275118,0.0002139727,0.00007696875,0.0005301961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003983673,"about_ca_system_score_gemma":0.000004344352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002546517,"about_ca_topic_score_gemma":0.002750158,"domain_scores_codex":[0.9993122,0.00001711038,0.0001169585,0.0002691246,0.00008883783,0.0001957633],"domain_scores_gemma":[0.999558,0.00002910738,0.00006300842,0.0002723627,0.000006492963,0.00007102696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003635578,0.00008218859,0.8864129,0.00003043146,0.00003350286,0.00001794914,0.002254036,0.06891024,0.0008904712,0.00188378,0.02861769,0.01083045],"study_design_scores_gemma":[0.0003539828,0.00009615671,0.8776703,0.00002994853,0.00001388408,0.000004297304,0.0003384138,0.1068429,0.0001506337,0.00638801,0.007737779,0.0003736685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314128,0.0001253172,0.008798982,0.0006003656,0.000127193,0.0001293734,0.00003115478,0.00001780035,0.05875698],"genre_scores_gemma":[0.9953015,0.0001295033,0.002126025,0.0001804364,0.000020281,0.00001966365,0.000003327555,0.000005008033,0.002214261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06388865,"threshold_uncertainty_score":0.9062747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211128086106517,"score_gpt":0.2570394174325514,"score_spread":0.2359266088218997,"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."}}