{"id":"W6917447723","doi":"10.57907/mirri/xse9gz","title":"MIRRI0078519","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":[0.0009228325,0.0009410472,0.0008617638,0.0006420597,0.0002626417,0.0001585728,0.001847656,0.0004725003,0.999076],"category_scores_gemma":[0.0005902491,0.00100839,0.0005279292,0.0006071792,0.0001049296,0.0001234888,0.001202675,0.001889874,0.9854423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000806668,"about_ca_system_score_gemma":0.000694326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376904,"about_ca_topic_score_gemma":0.0004186224,"domain_scores_codex":[0.9944578,0.0006666977,0.000912086,0.001348759,0.001527172,0.001087475],"domain_scores_gemma":[0.9959062,0.0003367196,0.0007659987,0.002486933,0.0001174146,0.0003867609],"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":[0.00009259196,0.0004748426,0.00002307516,0.00008910859,0.0002216592,0.0008744664,0.00003206717,0.00005033829,0.0001501147,0.00001417976,0.9977618,0.0002157727],"study_design_scores_gemma":[0.0009865174,0.00006046828,0.00001855875,0.00004882109,0.0003191399,0.0001255912,0.00009941072,0.00000778782,0.00009436293,0.0001201464,0.9970886,0.001030616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008392234,0.001369681,0.000002491341,0.0003838941,0.00214274,0.0006279386,0.9948798,0.0004717545,0.00003773722],"genre_scores_gemma":[0.000003684913,0.000233683,0.0001710977,0.0008012752,0.001021818,0.000224223,0.9889333,0.0003067972,0.008304162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01363378,"threshold_uncertainty_score":0.9992366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723864902435861,"score_gpt":0.2688746791811983,"score_spread":0.2516360301568397,"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."}}