{"id":"W6917478356","doi":"10.57907/mirri/ynus8d","title":"MIRRI0153504","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":[0.0008224468,0.0009107649,0.0008180077,0.0006042171,0.0003053819,0.0001483718,0.001807803,0.0004283887,0.9987999],"category_scores_gemma":[0.0005065253,0.0009812254,0.0004973024,0.0005753349,0.0001016811,0.0001255371,0.00126001,0.001853157,0.9833639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000792094,"about_ca_system_score_gemma":0.0006295558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218559,"about_ca_topic_score_gemma":0.0003525702,"domain_scores_codex":[0.9946824,0.0006275871,0.0008847329,0.001277769,0.001472654,0.001054833],"domain_scores_gemma":[0.9961176,0.0002739412,0.0007254945,0.00238365,0.0001104237,0.0003888856],"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":[0.00008786681,0.0004726349,0.00002425938,0.00009096396,0.0002037497,0.0009010147,0.00002828314,0.0000658163,0.0001443142,0.00001325848,0.997758,0.000209861],"study_design_scores_gemma":[0.001001777,0.00005502438,0.0000212438,0.00004593635,0.0002916557,0.0001371563,0.00008678723,0.000007882859,0.0001074057,0.00009516158,0.9971521,0.0009978473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009190777,0.001180503,0.000002069383,0.0003447113,0.002074941,0.0005976571,0.9952134,0.0004503261,0.00004451718],"genre_scores_gemma":[0.000003532966,0.0002516302,0.0001492783,0.0007225586,0.0009512344,0.0002364491,0.9890912,0.0002774174,0.008316684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01543598,"threshold_uncertainty_score":0.9992638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175934801862825,"score_gpt":0.2690438715413864,"score_spread":0.2514503913551039,"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."}}