{"id":"W6911153412","doi":"10.5061/dryad.zs7h44j6j","title":"rhinoceros auklet microsatellite data","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada; Dalhousie University; Simon Fraser University; University of Lethbridge","funders":"","keywords":"Rhinoceros; Population; Range (aeronautics); Oryx; Glacial period; Pleistocene; Genetic structure; Last Glacial Maximum; Foraging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005107567,0.0002418258,0.0003156782,0.0009135755,0.0003288102,0.0003092377,0.0003750887,0.0001583948,0.003718761],"category_scores_gemma":[0.001232805,0.0001213546,0.0002147726,0.000674598,0.0001551298,0.0001998089,0.0003813479,0.0002379772,0.001416596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604416,"about_ca_system_score_gemma":0.0003139856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436973,"about_ca_topic_score_gemma":0.03850765,"domain_scores_codex":[0.9995077,0.00003937437,0.00007880016,0.0002039441,0.0001269397,0.00004338631],"domain_scores_gemma":[0.9987444,0.0001438094,0.0003816275,0.0002370243,0.0003178046,0.0001754332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000288355,0.0001048125,0.9255011,0.0002100984,0.0001729632,0.0009132251,0.001231343,0.001569362,0.02813314,0.0003619235,0.004693571,0.03682003],"study_design_scores_gemma":[0.00005390056,0.000180636,0.9790188,0.00002944263,0.00006160241,0.0006649499,0.0004211012,0.001107192,0.002254277,0.0001180046,0.01606592,0.00002416735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9582064,0.00009059958,0.0007857181,0.00002355767,0.00001209875,0.00008247061,0.03508088,0.00007906547,0.005639209],"genre_scores_gemma":[0.9080245,0.0001134787,0.008530312,0.00008077738,0.00001456608,0.0003082262,0.0797772,0.00004909241,0.003101613],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01436973,"threshold_uncertainty_score":0.02857214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1545017777820524,"score_gpt":0.3774249977494659,"score_spread":0.2229232199674135,"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."}}