{"id":"W6954634536","doi":"10.57907/mirri/8bb3ma","title":"MIRRI0058551","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":[0.0008983377,0.0009446884,0.0008613688,0.0006357972,0.0003223802,0.0001569255,0.001855518,0.0004700326,0.9990792],"category_scores_gemma":[0.0005934167,0.001011217,0.0005279171,0.0005979626,0.0001085419,0.000125564,0.001197207,0.00188712,0.9852118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008068596,"about_ca_system_score_gemma":0.0006743941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313669,"about_ca_topic_score_gemma":0.0004600337,"domain_scores_codex":[0.9944605,0.0006665863,0.0009141296,0.001349326,0.001520317,0.00108913],"domain_scores_gemma":[0.9959155,0.0003276396,0.0007665285,0.002482089,0.0001147853,0.0003934987],"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":[0.00009010263,0.0004862536,0.000020902,0.00008574992,0.0002260796,0.0008345667,0.0000299365,0.00005153818,0.0001453291,0.00001436516,0.9977795,0.0002356856],"study_design_scores_gemma":[0.00098704,0.00005883539,0.0000179624,0.00004968605,0.0003274178,0.0001214285,0.00009356164,0.000007992748,0.00009399614,0.0001238404,0.9970858,0.001032478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007614029,0.0013983,0.00000238943,0.000416747,0.002065868,0.000621126,0.9949036,0.0004760828,0.00003978589],"genre_scores_gemma":[0.000003567251,0.0002386393,0.0001796684,0.0007934186,0.001046261,0.0002409254,0.989171,0.0003078417,0.008018719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0138674,"threshold_uncertainty_score":0.9992338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724806099265878,"score_gpt":0.2681535184907903,"score_spread":0.2509054574981315,"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."}}