{"id":"W2523355551","doi":"10.1016/j.ympev.2016.09.020","title":"Range size heritability and diversification patterns in the liverwort genus Radula","year":2016,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Infection and Immunity; Applied Scientific Research Fund; Fonds De La Recherche Scientifique - FNRS; Seventh Framework Programme; Ministerio de Ciencia e Innovación; National Science Foundation","keywords":"Biology; Biological dispersal; Vicariance; Ecology; Range (aeronautics); Cladogenesis; Evolutionary biology; Niche; Phylogenetic tree; Phylogenetic comparative methods; Biogeography; Species distribution; Ecological niche; Habitat; Phylogeography; Clade; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332866,0.00006642185,0.00006510661,0.000003941873,0.0001136115,0.00001481725,0.00006405109,0.00004348774,0.000008573315],"category_scores_gemma":[0.00001892367,0.00002022962,0.00002582755,0.00007706125,0.00006806212,0.00001644324,0.00004978713,0.00003021582,0.000001125217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001476362,"about_ca_system_score_gemma":0.000001634875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002580261,"about_ca_topic_score_gemma":0.0004736765,"domain_scores_codex":[0.9994764,0.00007069719,0.00008033412,0.0001713475,0.00008238885,0.0001188163],"domain_scores_gemma":[0.9998209,0.00006277947,0.00002574943,0.00004376581,0.00002216999,0.0000246611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001585787,0.00004521112,0.7677714,0.000007792511,0.000007445321,0.000003361713,0.0001253535,6.127656e-7,0.1177067,0.0001792307,0.00003864393,0.1140983],"study_design_scores_gemma":[0.0001268551,0.00008919444,0.9975072,0.000008199149,0.000007068037,0.000003227673,0.0001780572,0.0000227724,0.0001294768,0.0004782657,0.001383728,0.00006599288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964362,0.001349338,0.00009928225,0.001810371,0.00008819653,0.0001395024,0.00001910852,0.000005250025,0.00005280145],"genre_scores_gemma":[0.9988694,0.000914818,0.00002440063,0.0000750558,0.00009648883,0.000008574731,0.00000202944,4.628744e-7,0.00000874855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2297358,"threshold_uncertainty_score":0.08738196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007590976297158628,"score_gpt":0.17793792572259,"score_spread":0.1703469494254314,"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."}}