{"id":"W2993391473","doi":"10.1038/s41559-019-1070-4","title":"Macroevolutionary convergence connects morphological form to ecological function in birds","year":2020,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":548,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Research Councils UK; Sight Research UK","keywords":"Ecological niche; Niche; Trophic level; Biology; Trait; Ecology; Adaptation (eye); Ecomorphology; Ecosystem diversity; Evolutionary biology; Niche segregation; Ecosystem; Habitat","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002319779,0.0001828968,0.0002220664,0.0000533342,0.000157504,0.00001051056,0.0002468459,0.0006866234,0.05946868],"category_scores_gemma":[0.0004494743,0.0001686355,0.00007471517,0.0007638754,0.0001894679,0.0001766783,0.0002848027,0.0006250498,0.006113804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734167,"about_ca_system_score_gemma":0.00002312164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004064112,"about_ca_topic_score_gemma":0.001182659,"domain_scores_codex":[0.9982905,0.000108872,0.0002746075,0.0005797844,0.0002485881,0.000497627],"domain_scores_gemma":[0.9994355,0.0000798781,0.00007481476,0.0001395165,0.00002659363,0.0002437201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003472005,0.0002768818,0.8845709,0.000006743156,0.000008034971,0.00006036018,0.0001067549,0.0005123876,0.01322037,0.008379771,0.09234726,0.0001633164],"study_design_scores_gemma":[0.0005181724,0.0005784424,0.9792179,0.00000200256,0.000009396755,0.00002723708,0.0002887356,0.00105388,0.0001229237,0.001166588,0.01682439,0.0001903538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815795,0.00007522335,0.0004957383,0.01155432,0.0007383825,0.0004325431,0.0000420779,0.0001504102,0.004931787],"genre_scores_gemma":[0.9913632,0.00002022961,0.0001084438,0.008146463,0.00009047706,0.0000861528,0.00008846133,0.000008985417,0.00008757689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09464695,"threshold_uncertainty_score":0.9946601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144309422286403,"score_gpt":0.2385571759129756,"score_spread":0.2241262336843353,"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."}}