{"id":"W6948391037","doi":"10.5061/dryad.fqz612jq7","title":"Data from: Combining stable isotopes, morphological, and molecular analyses to reconstruct the diet of free-ranging consumers","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Ministère des Ressources naturelles et des Forêts (Québec); Université Laval","funders":"","keywords":"Foraging; Carnivore; Prior probability; A priori and a posteriori; Dietary diversity; Food group","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":[0.0004161181,0.000161471,0.0002578009,0.0001325511,0.001062826,0.0004784189,0.00249607,0.00008040213,0.03654645],"category_scores_gemma":[0.0006873598,0.000132867,0.00003610611,0.0003799634,0.0003289671,0.0001703195,0.00166921,0.0003260288,0.003269358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007157621,"about_ca_system_score_gemma":0.000006424117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001857221,"about_ca_topic_score_gemma":0.00003049841,"domain_scores_codex":[0.9983575,0.0003731937,0.0002267702,0.00051209,0.0002867781,0.0002437166],"domain_scores_gemma":[0.9985939,0.0001189689,0.0001539015,0.0008577677,0.00009501559,0.0001804848],"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":[0.00008643896,0.00001120858,0.00005939526,0.00003307454,0.00011113,0.00004529949,0.00007319745,0.00003124664,0.00006024557,0.000002167712,0.9946223,0.004864247],"study_design_scores_gemma":[0.0002422468,0.000191184,0.0005359604,0.00003139045,0.00008465654,0.00002495523,0.0004191521,0.0002326434,0.0000267874,0.00001971903,0.9980332,0.0001580822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004167786,0.000281384,0.0001242618,0.0004018545,0.00007401418,0.0002996451,0.9919588,0.0000671483,0.002625125],"genre_scores_gemma":[0.01036903,0.0002497553,0.0005017149,0.00045985,0.00003286008,6.153432e-9,0.9883239,0.00005438747,0.000008447207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03327709,"threshold_uncertainty_score":0.9975067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693274830936409,"score_gpt":0.2635527562812924,"score_spread":0.0942252731876515,"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."}}