{"id":"W6898446782","doi":"10.57745/dnnvzz","title":"oc_5_7_gut.1053_msps.20220325.tar.xz","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Réseau Technoscience","funders":"","keywords":"Metagenomics; Annotation; Identification (biology); Context (archaeology); Natural (archaeology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00122392,0.003344013,0.002011482,0.003889491,0.001515866,0.00301148,0.004316004,0.003527819,0.1366143],"category_scores_gemma":[0.004051903,0.001310317,0.001870899,0.00528313,0.0006887521,0.001652401,0.003110702,0.001935241,0.163984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002050427,"about_ca_system_score_gemma":0.002750607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0301353,"about_ca_topic_score_gemma":0.03892005,"domain_scores_codex":[0.9989807,0.0001494616,0.00009516252,0.0003166498,0.0002173293,0.0002406663],"domain_scores_gemma":[0.9985684,0.0003983171,0.0001628394,0.0003397417,0.0003113933,0.0002193004],"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":[0.0002063343,0.00004061227,0.001154932,0.001938861,0.00006283299,0.00003923515,0.00005431916,0.0003770665,0.0007572607,0.0008192635,0.9923178,0.002231558],"study_design_scores_gemma":[0.0006953091,0.00004409316,0.004461822,0.0004672117,0.00006075173,0.00006423274,0.00009957132,0.0004423738,0.001070207,0.001148314,0.9913936,0.00005240938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000104545,0.00003794898,0.00003736295,0.00002491994,0.00001154415,0.000007731376,0.998862,0.0004296598,0.0004842246],"genre_scores_gemma":[0.0002781413,0.00003216098,0.0002058064,0.0000365025,0.000003757327,0.00004135459,0.99893,0.0001199363,0.0003523779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8633857,"threshold_uncertainty_score":0.4570205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5615937112947598,"score_gpt":0.4755196457946577,"score_spread":0.08607406550010205,"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."}}