{"id":"W6917385321","doi":"10.57907/mirri/fqjxv5","title":"MIRRI0055867","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0001686862,0.0002754344,0.0002222067,0.00006669856,0.0001799298,0.00004270589,0.0004873344,0.0002553149,0.7659299],"category_scores_gemma":[0.00007550462,0.0002781233,0.0001915579,0.00004962,0.00003595068,8.760867e-7,0.0004901645,0.0002379669,0.02108433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001524937,"about_ca_system_score_gemma":0.0001461301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001596864,"about_ca_topic_score_gemma":0.0000367434,"domain_scores_codex":[0.9986081,0.0000907147,0.0002218876,0.0005198517,0.0002447247,0.0003147637],"domain_scores_gemma":[0.999133,0.00001529882,0.000144486,0.0005484167,0.00003910036,0.0001197272],"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":[0.0000389335,0.000105731,0.00005104926,0.00003414571,0.00008784065,0.00004414647,0.000005926093,0.00002818859,0.002907537,0.000002202373,0.9964525,0.0002418116],"study_design_scores_gemma":[0.0003597887,0.000136517,0.00003170855,0.00001242349,0.00006519064,0.00003633292,0.0000794853,0.000001215786,0.0008669095,0.00001487166,0.9980515,0.0003440054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001919424,0.001233288,0.00001331078,0.0002108621,0.0006455308,0.0001282658,0.9957525,0.00001523583,0.00008165436],"genre_scores_gemma":[0.000145308,0.001404875,0.00009946156,0.0008411456,0.0005542318,0.00001465847,0.9881861,0.00001601909,0.008738198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7448456,"threshold_uncertainty_score":0.9999671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086266518115747,"score_gpt":0.2296447011391773,"score_spread":0.2187820359580199,"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."}}