{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306295,0.001567257,0.001396569,0.006841597,0.001566443,0.003015973,0.002817294,0.0009428594,0.05379261],"category_scores_gemma":[0.005922608,0.0006448802,0.0005632841,0.008742318,0.0006479094,0.0009395437,0.00168486,0.001596879,0.04375829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005068633,"about_ca_system_score_gemma":0.01123575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6109088,"about_ca_topic_score_gemma":0.8073899,"domain_scores_codex":[0.9992388,0.00005627889,0.0000483385,0.0002069588,0.0003165605,0.0001329321],"domain_scores_gemma":[0.9972003,0.0004172738,0.0002166907,0.0003797273,0.001342146,0.000443979],"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":[0.00002409729,0.000006758688,0.00154488,0.0003293676,0.00001612894,0.00002881467,0.00004088277,0.0001435768,0.00004622373,0.0007386986,0.9937411,0.003339421],"study_design_scores_gemma":[0.00004856163,0.000004206137,0.01088479,0.0003984102,0.00002400433,0.0000622092,0.0001001608,0.0002579498,0.0001330094,0.00105502,0.9870059,0.00002587114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001926418,0.0001752456,0.0001017692,0.00006596354,0.00003100045,0.000009527522,0.9971233,0.0002008627,0.002099723],"genre_scores_gemma":[0.0008445858,0.0001667933,0.0006002914,0.00003981441,0.000008003201,0.00003793727,0.9963335,0.00006840864,0.001900719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3890912,"threshold_uncertainty_score":0.7827653,"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."}}