{"id":"W6888057293","doi":"10.18165/brxhjf","title":"University of Alberta Museum of Zoology Mammalogy Collection (UAMZ)","year":2015,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Representation (politics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000578864,0.0002490568,0.0008712823,0.0004068363,0.00005749502,0.00001384162,0.001605129,0.0006216472,0.01835673],"category_scores_gemma":[0.0002247216,0.0002990555,0.00008773507,0.0005370099,0.0003566122,0.0001527752,0.001090066,0.0002902424,0.01036732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442245,"about_ca_system_score_gemma":0.001084285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08550116,"about_ca_topic_score_gemma":0.2895898,"domain_scores_codex":[0.9982377,0.000399334,0.0003448388,0.0005065617,0.000246961,0.0002645555],"domain_scores_gemma":[0.9975048,0.0001634035,0.0008972055,0.0009732009,0.0003446625,0.0001167746],"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":[0.0007592475,0.0002219341,0.00008653788,0.00003349844,0.0001963137,0.00003800137,0.0002056154,0.00000895294,0.0001704819,0.000001336267,0.9981194,0.0001586919],"study_design_scores_gemma":[0.001420436,0.0003413622,0.0001689006,0.00004979827,0.0003970186,0.00004056957,0.0002630705,0.000008526303,0.0002210452,0.00001240173,0.9968364,0.0002405226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003697437,0.00002199677,0.00000122118,0.00004279234,0.0003071635,0.0006156035,0.9872862,6.894498e-7,0.008026874],"genre_scores_gemma":[0.0002489989,0.00002256635,0.0006201261,0.000003517145,0.00003083464,0.000001139254,0.9892222,0.00003134953,0.009819288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2040886,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03885343656302603,"score_gpt":0.2848310679473299,"score_spread":0.2459776313843039,"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."}}