{"id":"W6973832517","doi":"10.57907/mirri/scwdhz","title":"MIRRI0085310","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":[0.0008759468,0.0009442749,0.0008695628,0.000636888,0.0003266463,0.0001547085,0.001856885,0.000479738,0.9990633],"category_scores_gemma":[0.0006090066,0.001011069,0.0005291244,0.0006103855,0.0001114628,0.0001237512,0.001202467,0.001951598,0.9845085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733132,"about_ca_system_score_gemma":0.0006807649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290699,"about_ca_topic_score_gemma":0.0004283426,"domain_scores_codex":[0.9944737,0.000659236,0.0009117228,0.001351306,0.001522236,0.001081826],"domain_scores_gemma":[0.9958993,0.0003293183,0.000766252,0.002494638,0.0001191217,0.0003913454],"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":[0.00009113275,0.0004816854,0.00002060043,0.00008572881,0.0002192152,0.0008775353,0.00003140816,0.00004652054,0.0001681169,0.00001362335,0.9977416,0.0002228524],"study_design_scores_gemma":[0.000979675,0.00006190976,0.00001757297,0.00004750199,0.0003160431,0.000130282,0.00009299343,0.00000827337,0.000100589,0.0001268732,0.9970865,0.001031752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008396272,0.00131657,0.00000228497,0.0004041084,0.002129109,0.000620104,0.9949315,0.0004746568,0.00003767937],"genre_scores_gemma":[0.000003389727,0.0002494405,0.0001847613,0.0007682585,0.001027789,0.0002356846,0.9893357,0.0003079504,0.007887003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01455487,"threshold_uncertainty_score":0.999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712946050112845,"score_gpt":0.2676052837536525,"score_spread":0.250475823252524,"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."}}