{"id":"W6898757142","doi":"10.57907/mirri/7dlekz","title":"MIRRI0076700","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Natural (archaeology)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000905835,0.0009434528,0.0008600865,0.0006450464,0.0003216101,0.0001553962,0.001844221,0.0004725752,0.9991489],"category_scores_gemma":[0.0005711562,0.001010668,0.000525213,0.0006118187,0.0001107311,0.0001238581,0.001177403,0.001888833,0.9848974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008139687,"about_ca_system_score_gemma":0.0006780134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104755,"about_ca_topic_score_gemma":0.0004089086,"domain_scores_codex":[0.9944601,0.0006626802,0.0009139394,0.001348747,0.001524445,0.001090102],"domain_scores_gemma":[0.9959239,0.000330438,0.0007578219,0.002479202,0.0001163468,0.0003922777],"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":[0.00009639084,0.0004797208,0.00002668322,0.00008669861,0.0002213308,0.0008700448,0.00003183494,0.00005096521,0.0001205372,0.00001371516,0.9978092,0.0001928755],"study_design_scores_gemma":[0.0009859219,0.00006263098,0.00001902145,0.00004957078,0.0003165722,0.0001205819,0.00009386012,0.000008040955,0.00009365437,0.000126727,0.9970925,0.001030868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009998896,0.001351641,0.00000232796,0.0003869143,0.002113791,0.0006191868,0.9949062,0.0004791493,0.00004076034],"genre_scores_gemma":[0.000003655247,0.0002416936,0.0001670267,0.000794336,0.001053467,0.0002344535,0.989058,0.000307414,0.008139976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01425149,"threshold_uncertainty_score":0.9992344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720718242204847,"score_gpt":0.2685970274912858,"score_spread":0.2513898450692373,"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."}}