{"id":"W3108476221","doi":"10.1111/geb.13230","title":"The multiple origins of sexual size dimorphism in global amphibians","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Directorate for Biological Sciences; Agencia Nacional de Investigación e Innovación","keywords":"Fecundity; Biology; Ecology; Sexual dimorphism; Sexual selection; Competition (biology); Selection (genetic algorithm); Ecological niche; Generalist and specialist species; Zoology; Habitat; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004582589,0.0001104949,0.0001749494,0.0007634225,0.0001628421,0.0003654818,0.0001707073,0.00008790151,0.002042463],"category_scores_gemma":[0.001265676,0.0001028972,0.0003522629,0.001014445,0.0003673729,0.0002526939,0.0004960558,0.0002555158,0.0001587748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419045,"about_ca_system_score_gemma":0.0001247795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841905,"about_ca_topic_score_gemma":0.006422376,"domain_scores_codex":[0.9997426,0.00008109869,0.00001709178,0.0001005358,0.00003438306,0.00002434769],"domain_scores_gemma":[0.9992306,0.0001994197,0.0003348965,0.0001117628,0.00007603347,0.00004734908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004302608,0.000008436677,0.9836757,0.00006311489,0.0001965426,0.00003872911,0.0002282205,0.0008825013,0.002537263,0.0004567604,0.0006577438,0.01121213],"study_design_scores_gemma":[0.000002134139,0.000005850472,0.9984156,0.000005787272,0.00001440792,0.00003579569,0.00007713934,0.0006830789,0.00008444882,0.0001695696,0.0005038774,0.000002152899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995519,0.000342444,0.0008708077,0.00009064924,0.000002842023,0.000003730766,0.002522659,0.00002607491,0.0006216341],"genre_scores_gemma":[0.9980204,0.00005409437,0.0003057325,0.00001626342,0.000002963987,0.00000486985,0.001518573,0.000007377824,0.00006971452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003841905,"threshold_uncertainty_score":0.00763911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006754163463411477,"score_gpt":0.2089199477236615,"score_spread":0.2021657842602501,"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."}}