{"id":"W6936107717","doi":"10.57907/mirri/hiz9hy","title":"MIRRI0068671","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":[0.0008856606,0.0009432227,0.000861855,0.0006373944,0.0003223389,0.0001571866,0.001842231,0.0004695083,0.9991692],"category_scores_gemma":[0.0005825972,0.001009537,0.0005239681,0.0006096687,0.0001086807,0.0001238281,0.0011964,0.001871751,0.9861868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007909558,"about_ca_system_score_gemma":0.0006528482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047719,"about_ca_topic_score_gemma":0.0003239873,"domain_scores_codex":[0.9944739,0.0006662084,0.000913299,0.001347156,0.001517362,0.001082096],"domain_scores_gemma":[0.9959325,0.0003270318,0.0007663567,0.002472712,0.0001175497,0.0003838932],"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":[0.00008868356,0.000480278,0.00002226705,0.00008776635,0.0002193535,0.0008534359,0.00002756053,0.00005168728,0.0001554179,0.00001123535,0.9977901,0.0002122053],"study_design_scores_gemma":[0.0009788473,0.00006116203,0.0000181808,0.00004925777,0.0003224042,0.0001253944,0.00008378053,0.000007962681,0.00009581347,0.0001707404,0.9970559,0.001030579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007716665,0.001306214,0.000002531189,0.0003923821,0.002067113,0.0006248165,0.9950141,0.0004734998,0.00004221787],"genre_scores_gemma":[0.000002749868,0.0002249463,0.0001750196,0.0007635336,0.001018026,0.0002343332,0.9869981,0.000306651,0.01027661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01298244,"threshold_uncertainty_score":0.9992355,"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."}}