{"id":"W6898897202","doi":"10.57907/mirri/xmyuzp","title":"MIRRI0043657","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":[0.0008788035,0.0009436639,0.0008638239,0.0006340135,0.0003205815,0.0001558798,0.001847527,0.0004692498,0.9990848],"category_scores_gemma":[0.0005346766,0.001010677,0.0005369766,0.0005268302,0.0001085,0.0001245028,0.001191904,0.001882209,0.9843161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008162996,"about_ca_system_score_gemma":0.000670263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341431,"about_ca_topic_score_gemma":0.0003182239,"domain_scores_codex":[0.9944884,0.0006581022,0.0009095574,0.001347993,0.001514861,0.0010811],"domain_scores_gemma":[0.9959447,0.0003228307,0.0007608802,0.002476,0.0001059272,0.0003896285],"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":[0.0000904945,0.0004826178,0.00001844858,0.00008907628,0.000225336,0.0008632004,0.0000260391,0.00005615282,0.0001511716,0.00001919448,0.9977676,0.0002106909],"study_design_scores_gemma":[0.0009983316,0.00006216575,0.00002267605,0.00004982879,0.0003254448,0.0001182004,0.00009033823,0.000008129337,0.00009340365,0.0001234075,0.9970763,0.00103178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000519563,0.001431042,0.000002366769,0.0002870219,0.002075996,0.00064125,0.9949749,0.0004821399,0.0000533869],"genre_scores_gemma":[0.000003783677,0.000237155,0.0001740448,0.0007602735,0.001010145,0.0002500828,0.9899569,0.0003069899,0.007300634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01476879,"threshold_uncertainty_score":0.9992344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718230788061879,"score_gpt":0.2678958363395831,"score_spread":0.2507135284589643,"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."}}