{"id":"W6969301144","doi":"10.5683/sp3/h2uohx","title":"rhinoceros auklet microsatellite data","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"Academic Research and Education Studies","field":"Environmental Science","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; Foraging; Genetic structure","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002856804,0.000230424,0.0002591795,0.00002787152,0.0001630576,0.00007364704,0.002167681,0.0001928695,0.002328734],"category_scores_gemma":[0.0003637937,0.0001950575,0.00004321114,0.0001845417,0.0003115738,0.0001915861,0.002707355,0.0005416825,0.005773829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088148,"about_ca_system_score_gemma":0.00005447952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04507326,"about_ca_topic_score_gemma":0.003015957,"domain_scores_codex":[0.9980087,0.00006694863,0.0002650412,0.0006923689,0.0005587834,0.0004081337],"domain_scores_gemma":[0.9981108,0.00007678667,0.0001208517,0.00140764,0.000007966218,0.0002760014],"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":[0.000008203292,0.00002163049,0.0001771994,0.00002515504,0.0000283744,0.00001120154,0.00006263136,5.375207e-7,0.00001376937,6.229031e-7,0.9981836,0.001467064],"study_design_scores_gemma":[0.00007004555,0.00001600347,0.00122436,0.00001082427,0.00002705965,0.000004485517,0.00004258242,0.000005440267,0.00001361639,0.00005305119,0.9983261,0.0002063807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002984059,0.0003102006,0.000005656606,0.002304202,0.0001165657,0.0002020268,0.995083,0.00002902771,0.001946297],"genre_scores_gemma":[0.000001821758,0.006279214,0.000172707,0.00208949,0.0004710059,0.00002323383,0.9905016,0.00001461172,0.0004463208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0420573,"threshold_uncertainty_score":0.9985833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07727758408508968,"score_gpt":0.341160088333773,"score_spread":0.2638825042486834,"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."}}