{"id":"W6898663816","doi":"10.57907/mirri/bdwnor","title":"MIRRI0068670","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":[0.0008879677,0.0009436626,0.0008600203,0.0006360168,0.0003231265,0.0001574762,0.001842176,0.0004696944,0.9991737],"category_scores_gemma":[0.0005867862,0.001010017,0.0005242916,0.0006079265,0.0001088196,0.0001239041,0.001196418,0.001873625,0.9862043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007930587,"about_ca_system_score_gemma":0.0006657733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391163,"about_ca_topic_score_gemma":0.0004287336,"domain_scores_codex":[0.9944687,0.0006670991,0.0009147238,0.001348719,0.00151836,0.001082329],"domain_scores_gemma":[0.9959294,0.0003277239,0.0007672377,0.002473962,0.0001177431,0.0003839831],"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":[0.00008865359,0.000482472,0.0000214632,0.00008776886,0.0002194549,0.000853836,0.00002997416,0.00005264872,0.0001569638,0.00001414256,0.9977728,0.0002198936],"study_design_scores_gemma":[0.0009792388,0.00006113941,0.0000179552,0.00004931767,0.0003226474,0.0001254362,0.00009006072,0.000007996105,0.00009666241,0.0001292549,0.9970891,0.00103112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008017012,0.001327486,0.000002442136,0.0003969916,0.002070283,0.0006241233,0.9949885,0.0004736667,0.00003634386],"genre_scores_gemma":[0.000003490844,0.0002293237,0.0001773394,0.0007712985,0.001006699,0.0002420166,0.9892044,0.0003074187,0.008057996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01296935,"threshold_uncertainty_score":0.999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701451460486007,"score_gpt":0.2673226940554996,"score_spread":0.2503081794506395,"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."}}