{"id":"W7085226139","doi":"10.5683/sp3/8nwtti","title":"Ultraconserved element (UCE) data for phylogenomic analysis and four-gene Sanger dataset for phylogenetic analysis of Phenasurya daeng (Salticidae, Plexippini, Plexippina)","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Malaria Research and Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phylogenetic tree; Phylogenomics; Phylogenetics; Supertree; Genus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001946146,0.001109486,0.001547403,0.003021151,0.001274473,0.001475503,0.002295414,0.001510281,0.04324805],"category_scores_gemma":[0.005576873,0.0005721181,0.001096449,0.005168626,0.0005562983,0.0009347969,0.001852641,0.002059266,0.03248562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009812925,"about_ca_system_score_gemma":0.002598553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015258,"about_ca_topic_score_gemma":0.02429955,"domain_scores_codex":[0.9989339,0.0001949237,0.0001515611,0.000326749,0.00021447,0.0001783945],"domain_scores_gemma":[0.9981535,0.000570046,0.0002699992,0.0004065502,0.0003921998,0.0002076956],"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":[0.0008776762,0.0001426313,0.01292178,0.005322987,0.000386475,0.0003705955,0.0005814928,0.001679366,0.01030597,0.005435023,0.9468722,0.0151037],"study_design_scores_gemma":[0.0003729957,0.00004429521,0.02044076,0.0005396964,0.0001550584,0.0001769671,0.0002422861,0.0005041448,0.002262704,0.002408878,0.9727869,0.0000653768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008351599,0.00007286937,0.0003562953,0.00003624396,0.0000206315,0.00002385232,0.9976882,0.0002440472,0.0007226463],"genre_scores_gemma":[0.001338329,0.00004225929,0.00154542,0.00004945858,0.000004244409,0.0001288373,0.9963897,0.0000937077,0.0004079666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04324805,"threshold_uncertainty_score":0.1446792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06002477212022483,"score_gpt":0.3486036657867754,"score_spread":0.2885788936665506,"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."}}