{"id":"W6892164225","doi":"10.5066/p135gtgq","title":"Diet Data from Fecal DNA Metabarcoding and Video Camera Collars from the Porcupine Caribou Herd, Alaska and Yukon","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Porcupine; Herd; Forage; Feces; Environmental DNA; Ice calving","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":[0.00082027,0.001368922,0.001037562,0.00281198,0.001148958,0.001489799,0.001646517,0.001351873,0.01745084],"category_scores_gemma":[0.002607804,0.0004651902,0.0006977618,0.004495413,0.0004316799,0.0005982934,0.001487176,0.0008664564,0.01455476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337047,"about_ca_system_score_gemma":0.002152807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143555,"about_ca_topic_score_gemma":0.2030913,"domain_scores_codex":[0.9993953,0.00006536428,0.0000628034,0.0002294149,0.0001316909,0.0001155549],"domain_scores_gemma":[0.9989486,0.0002827806,0.0001327664,0.0002006898,0.0003242259,0.0001108469],"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":[0.0003835125,0.0001828578,0.04475007,0.002906276,0.0003647578,0.0004126428,0.0006680537,0.002420986,0.002123428,0.001271914,0.9212292,0.02328638],"study_design_scores_gemma":[0.0002057937,0.00006052425,0.1209996,0.0007037407,0.0001946414,0.0003196956,0.0009627409,0.001517186,0.00172307,0.001489514,0.8717015,0.0001220027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002745677,0.00008643944,0.0001028872,0.00003447461,0.00001492962,0.00001021492,0.9962727,0.0001465337,0.000586164],"genre_scores_gemma":[0.001867112,0.00004062434,0.000289287,0.00001085211,0.000002246473,0.00004065775,0.9972934,0.00002227368,0.0004335915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8856446,"threshold_uncertainty_score":0.2273796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08266699964915977,"score_gpt":0.33386270435715,"score_spread":0.2511957047079902,"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."}}