{"id":"W6917581697","doi":"10.57907/mirri/3et8eo","title":"MIRRI0068741","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":[0.0008861474,0.000943109,0.0008589982,0.000634974,0.0003231523,0.0001572948,0.001840211,0.0004692741,0.9991658],"category_scores_gemma":[0.0005847082,0.001009441,0.0005241149,0.0006060639,0.0001087431,0.0001238383,0.001196191,0.00187193,0.9864164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007924957,"about_ca_system_score_gemma":0.0006652548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377369,"about_ca_topic_score_gemma":0.0004288483,"domain_scores_codex":[0.9944748,0.0006671112,0.0009123232,0.001347486,0.001517466,0.001080758],"domain_scores_gemma":[0.9959314,0.0003272911,0.0007665681,0.00247339,0.0001174983,0.0003838091],"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":[0.00008862234,0.0004823912,0.00002752882,0.00008752882,0.0002196537,0.0008538794,0.00002896672,0.0000444486,0.0001773909,0.0000126395,0.9977691,0.0002078352],"study_design_scores_gemma":[0.0009766388,0.00006106068,0.00001972533,0.00004913984,0.0003228791,0.0001254466,0.0000906647,0.000009964141,0.00007872293,0.0001242711,0.9971109,0.001030558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006683351,0.001323873,0.000003231228,0.0003923929,0.002068546,0.0006231334,0.9950138,0.0004725762,0.00003566818],"genre_scores_gemma":[0.000003517475,0.0002282187,0.0001760942,0.0007706318,0.001024856,0.0002418382,0.9892608,0.0003073261,0.007986711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01274947,"threshold_uncertainty_score":0.9992356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701481824876772,"score_gpt":0.2673440100266479,"score_spread":0.2503291917778802,"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."}}