{"id":"W6949146291","doi":"10.5281/zenodo.13975106","title":"Linked collectors and determiners for: Mammalogy Collection - Royal Ontario Museum.","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attribution; Data collection; Natural history; Biodiversity; Natural (archaeology)","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003518751,0.0002217466,0.0002292518,0.0003999018,0.002003825,0.000922133,0.0005999871,0.0002174281,0.0426539],"category_scores_gemma":[0.0001572085,0.0002294409,0.00007703508,0.0003199252,0.0001808067,0.0001192268,0.0002483822,0.0004305404,0.01075942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009568386,"about_ca_system_score_gemma":0.00002319247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108157,"about_ca_topic_score_gemma":0.01116692,"domain_scores_codex":[0.9984729,0.0001591642,0.0002204779,0.0005515357,0.0002305235,0.0003653526],"domain_scores_gemma":[0.9992182,0.0000672656,0.00009957189,0.0002663959,0.0001473057,0.0002012574],"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":[0.0001378245,0.00001709854,0.0001130324,0.0001293428,0.00007342795,0.00003087796,0.0002255112,0.00001877777,0.000001273554,0.000002075138,0.9940711,0.005179654],"study_design_scores_gemma":[0.0004284364,0.0004827729,0.001954825,0.00003028077,0.00008857949,0.0001100958,0.00009131493,0.0003225404,0.000002039731,0.00002497319,0.9962085,0.0002555836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004045583,0.0001093958,0.00002942795,0.0001643853,0.0006559222,0.0007420137,0.9816388,0.0002505228,0.01236389],"genre_scores_gemma":[0.003128058,0.00009265095,0.0001067787,0.0001161715,0.0001850601,3.809057e-8,0.9940097,0.0001438259,0.002217688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03189448,"threshold_uncertainty_score":0.9992954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04644356227150256,"score_gpt":0.204946022364843,"score_spread":0.1585024600933404,"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."}}