{"id":"W6917254700","doi":"10.57907/mirri/jcifux","title":"MIRRI0063156","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":[0.0008738301,0.0009208309,0.000837846,0.0006226564,0.0003263636,0.0001524395,0.001792503,0.0004599651,0.9990183],"category_scores_gemma":[0.0005482657,0.0009769929,0.000538643,0.0005835587,0.0001047797,0.0001287228,0.001166141,0.001797182,0.9836739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007903813,"about_ca_system_score_gemma":0.0006485816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332638,"about_ca_topic_score_gemma":0.0004452304,"domain_scores_codex":[0.9947037,0.0005505791,0.0009053715,0.001282731,0.001474098,0.001083546],"domain_scores_gemma":[0.9960672,0.0003032971,0.0007606216,0.002381988,0.0001130755,0.000373858],"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":[0.00009057624,0.0004429714,0.00002164442,0.00009060228,0.0002155085,0.0007353548,0.00002811629,0.00005345424,0.0001258,0.00001611316,0.9979528,0.000227125],"study_design_scores_gemma":[0.0009794878,0.00006280115,0.00001550302,0.00004837548,0.0003138707,0.0001210911,0.00009403656,0.000009036059,0.00009510203,0.0001476902,0.9971102,0.001002839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007937098,0.001191606,0.000002728507,0.0003565949,0.001989552,0.0006341541,0.9952521,0.0004561056,0.00003782741],"genre_scores_gemma":[0.000003413767,0.0002215705,0.0001775728,0.0007468769,0.0009666528,0.0002468837,0.9894566,0.000299021,0.007881396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01534431,"threshold_uncertainty_score":0.9992681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170193258234565,"score_gpt":0.2674187999556708,"score_spread":0.2503994741322143,"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."}}