{"id":"W4405523294","doi":"10.1038/s41597-024-04261-5","title":"Primate Phenotypes: A Multi-Institution Collection of 3D Morphological Data Housed in MorphoSource","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Toronto","funders":"Ministerio de Ciencia e Innovación; American Museum of Natural History; Agencia Estatal de Investigación; National Science Foundation","keywords":"Digitization; Phenomics; Metadata; Natural history; National Museum of Natural History; Computer science; Data science; World Wide Web; Biology; Ecology; Genomics","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":[0.002063697,0.0001396331,0.0002361693,0.0003704689,0.0001352953,0.0001305554,0.001901675,0.0001618176,0.001576021],"category_scores_gemma":[0.0001862242,0.0001254404,0.00002327744,0.001058858,0.000462401,0.0004907348,0.001379864,0.0002361203,0.0009991265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008526129,"about_ca_system_score_gemma":0.0001659959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005918989,"about_ca_topic_score_gemma":0.0007533276,"domain_scores_codex":[0.9975318,0.0001464613,0.000423029,0.001307175,0.0002099682,0.0003815449],"domain_scores_gemma":[0.9966473,0.00007516165,0.00007737608,0.003105593,0.00003465801,0.00005992034],"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":[0.0005519472,0.004361395,0.03392765,0.0003993156,0.0001969754,0.001566234,0.006098123,0.0001509052,0.1219067,0.004551665,0.770612,0.05567706],"study_design_scores_gemma":[0.006232528,0.000397088,0.3288432,0.000389087,0.0005175021,0.0007619282,0.001839112,0.1603449,0.003067069,0.0004585172,0.4956785,0.001470521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474919,0.001650885,0.01209822,0.0003254199,0.01631214,0.001014317,0.01516516,0.0005063353,0.005435592],"genre_scores_gemma":[0.9825939,0.00001930499,0.003773764,0.00003924164,0.00005953337,0.00002893075,0.01035025,0.00002333325,0.003111747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2949156,"threshold_uncertainty_score":0.9997787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611530633070968,"score_gpt":0.3947069348684969,"score_spread":0.2335538715614001,"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."}}