{"id":"W6936330108","doi":"10.57907/mirri/01bqus","title":"MIRRI0068251","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":[0.0008898255,0.0009433076,0.0008591078,0.0006373292,0.0003232481,0.0001574864,0.001840616,0.0004696033,0.9992207],"category_scores_gemma":[0.0005865525,0.001009557,0.0005241388,0.0006090201,0.0001088462,0.0001240349,0.001195937,0.001871953,0.9873158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007927125,"about_ca_system_score_gemma":0.0006653406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373181,"about_ca_topic_score_gemma":0.0004230241,"domain_scores_codex":[0.9944677,0.0006668812,0.0009139148,0.001348564,0.001521135,0.001081851],"domain_scores_gemma":[0.9959404,0.00031833,0.000766733,0.002472339,0.0001182849,0.0003839123],"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":[0.00008701163,0.0004820009,0.00002099867,0.00008778511,0.0002194452,0.0008529543,0.00002925625,0.00005209312,0.0001598185,0.0000139024,0.9977747,0.0002200701],"study_design_scores_gemma":[0.0009783932,0.00006106267,0.00001789764,0.00004931327,0.0003225296,0.00012537,0.00009146966,0.000007928571,0.00009979159,0.0001266175,0.9970889,0.001030731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007825273,0.001327806,0.000002461604,0.0003953463,0.002096796,0.0006243149,0.994966,0.0004735846,0.00003545955],"genre_scores_gemma":[0.000003479353,0.0002283562,0.000176865,0.0007692644,0.001028351,0.000241906,0.9891735,0.0003073492,0.008070889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01190499,"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."}}