{"id":"W6924748366","doi":"10.15468/okgapc","title":"Canadian Museum of Nature Mammal Collection","year":2018,"lang":"en","type":"dataset","venue":"Open MIND","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Whaling; Marine mammal; Mammal; Arctic; The arctic","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002737097,0.0002063858,0.0004715312,0.0004475611,0.00009162802,0.00006851316,0.0004618487,0.001176481,0.01193585],"category_scores_gemma":[0.0004364974,0.0002018829,0.00007543704,0.0003876401,0.00007048233,0.00005543809,0.0001559052,0.0008750883,0.0004347032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007341079,"about_ca_system_score_gemma":0.004170713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4319173,"about_ca_topic_score_gemma":0.793323,"domain_scores_codex":[0.9987376,0.00004283976,0.0002653557,0.0004270818,0.0002629539,0.0002641576],"domain_scores_gemma":[0.998507,0.0000872327,0.0001780903,0.0007509721,0.0001939851,0.0002827041],"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":[0.00007370191,0.00007300297,0.0000534304,0.0000886249,0.00008231594,0.0001172687,0.00003740719,2.894889e-7,0.00001700989,8.759187e-8,0.9988031,0.0006537497],"study_design_scores_gemma":[0.0006181017,0.0002617903,0.0004042019,0.000598848,0.0003160284,0.00004265664,0.0000155775,0.000003723883,0.0006638973,0.000001378055,0.9968982,0.0001755377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009038071,0.00006385559,8.870074e-8,0.01361708,0.0008539957,0.0007992464,0.9833089,9.537407e-7,0.0004521321],"genre_scores_gemma":[0.000237539,0.00005031657,0.0004129841,0.004578454,0.000456075,0.00002279717,0.9919627,0.00002389656,0.002255205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3614058,"threshold_uncertainty_score":0.9889674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646481811747244,"score_gpt":0.3479402165049218,"score_spread":0.3214753983874494,"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."}}