{"id":"W6892080996","doi":"10.5061/dryad.h9w0vt4n3","title":"Data from: Metabarcoding of fecal pellets in wild muskox populations reveals negative relationships between microbiome and diet alpha diversity","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Microbiome; Context (archaeology); Biodiversity; Alpha diversity; Forage; Ecological niche; Adaptation (eye); Arctic","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":[0.0004313687,0.00031899,0.0002344852,0.0009644093,0.000592401,0.0005066555,0.000204661,0.0003413007,0.00269218],"category_scores_gemma":[0.0006778241,0.0001734019,0.0003367455,0.0009657273,0.0002757033,0.0002650425,0.0006116425,0.0002804074,0.0007980726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891566,"about_ca_system_score_gemma":0.0002741395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003784123,"about_ca_topic_score_gemma":0.01307477,"domain_scores_codex":[0.9997383,0.00002858,0.00002558803,0.0001144283,0.00006081428,0.00003232722],"domain_scores_gemma":[0.9993616,0.00007908381,0.0002475125,0.00006710213,0.0001674024,0.00007735276],"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":[0.00114884,0.00008923463,0.7015513,0.0005773459,0.0005050489,0.0002055649,0.00105736,0.0002369689,0.2543164,0.0001730032,0.002271271,0.03786764],"study_design_scores_gemma":[0.000008459081,0.000105923,0.9871941,0.00004127436,0.0001079109,0.0003191041,0.0002497961,0.0002576813,0.006599356,0.00007337581,0.005030005,0.00001299204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9771779,0.0006762967,0.002474434,0.00009752979,0.00002371701,0.00003024725,0.01802269,0.00009093559,0.001406288],"genre_scores_gemma":[0.9341775,0.0006111304,0.01786444,0.0002948201,0.00002971706,0.0001469598,0.04376973,0.0001161749,0.002989507],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.003784123,"threshold_uncertainty_score":0.009006262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.415775798415184,"score_gpt":0.4025536361100726,"score_spread":0.01322216230511147,"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."}}