{"id":"W6967521849","doi":"10.5061/dryad.08kprr5dm","title":"Data and code for: Evolutionarily distinct species in frugivore networks have fewer links and more specialized partners","year":2025,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Optimal distinctiveness theory; Phylogenetic tree; Phylogenetic comparative methods; Phylogenetics; Frugivore; Set (abstract data type); Bayesian probability; Evolutionary ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001359417,0.0008149499,0.001198581,0.000481709,0.0002807769,0.0003128472,0.00125995,0.001253966,0.0001307394],"category_scores_gemma":[0.001384109,0.0008242566,0.00009551038,0.0004134448,0.0008358253,0.0002777569,0.001786879,0.001460331,0.00001910119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877029,"about_ca_system_score_gemma":0.0003154023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438738,"about_ca_topic_score_gemma":0.06332088,"domain_scores_codex":[0.9958704,0.0002819678,0.0008381671,0.00167179,0.0005092551,0.0008284359],"domain_scores_gemma":[0.9959096,0.000891962,0.000428822,0.00238421,0.0001518891,0.0002335556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004111684,0.00009458252,0.003719907,0.0003168098,0.00015915,0.00005819529,0.00005594232,0.00004948361,8.043573e-7,0.0001375386,0.9945907,0.0004057011],"study_design_scores_gemma":[0.002189567,0.00004353979,0.00767134,0.0005417319,0.0003553182,0.000008630567,0.0001716087,0.01195376,2.389525e-7,0.0002051754,0.9760765,0.0007825835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009645557,0.004699847,0.0004543657,0.0003916095,0.0006322739,0.001388812,0.9918888,0.00007957903,0.0003682544],"genre_scores_gemma":[0.0001087974,0.001135076,0.0004818608,0.0002967147,0.001439555,0.0001492353,0.9947351,0.00008321831,0.00157047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06288214,"threshold_uncertainty_score":0.9994208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05245798152708256,"score_gpt":0.3483923625665221,"score_spread":0.2959343810394396,"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."}}