{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001635008,0.001001575,0.001697418,0.0001144676,0.0005661372,0.003306472,0.004251443,0.0005812011,0.007685405],"category_scores_gemma":[0.001006936,0.0008002906,0.0000931582,0.0005004308,0.0005065559,0.001038805,0.013175,0.001225877,0.001346465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326427,"about_ca_system_score_gemma":0.0006224553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04709617,"about_ca_topic_score_gemma":0.08569653,"domain_scores_codex":[0.9937412,0.0009221025,0.0008463657,0.002840622,0.0009417219,0.0007080166],"domain_scores_gemma":[0.9920669,0.001410678,0.0006683088,0.005315526,0.0001221008,0.0004164453],"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":[0.0003320562,0.00009898593,0.0003400422,0.00001842049,0.001354719,0.000573178,0.0002175334,0.000001089906,0.0006184208,1.950689e-7,0.9935308,0.00291457],"study_design_scores_gemma":[0.001861572,0.00006927278,0.001721125,0.0004996712,0.002742746,0.00004248916,0.001062645,0.00009921414,0.0003289324,0.00001504539,0.9906149,0.0009424061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06634504,0.01183546,0.000001809225,0.0004616611,0.000486402,0.001281729,0.9194661,0.00000498879,0.0001168088],"genre_scores_gemma":[0.0006339779,0.001494064,0.001921259,0.0002676861,0.0006444131,0.000048619,0.9946106,0.0001750434,0.0002043474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07514449,"threshold_uncertainty_score":0.9994448,"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."}}