{"id":"W6898870456","doi":"10.57907/mirri/cjrid9","title":"MIRRI0068534","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":[0.000885835,0.0009430688,0.000859017,0.0006355517,0.000322936,0.0001573199,0.001840856,0.0004694539,0.9991865],"category_scores_gemma":[0.0005764954,0.001009475,0.0005239673,0.0006075207,0.0001087584,0.0001234517,0.001195518,0.00184497,0.9860902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007914289,"about_ca_system_score_gemma":0.0006645016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439518,"about_ca_topic_score_gemma":0.0004525034,"domain_scores_codex":[0.9944752,0.0006663379,0.0009128798,0.001347425,0.001516877,0.001081233],"domain_scores_gemma":[0.9959337,0.0003266782,0.0007664932,0.002471888,0.0001176274,0.0003835983],"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":[0.00008848956,0.0004820468,0.00002074818,0.0000875133,0.0002193133,0.0008692298,0.00002919176,0.00005536429,0.0001573697,0.00001341689,0.9977664,0.0002108763],"study_design_scores_gemma":[0.0009767554,0.00006092737,0.00001681604,0.00004915875,0.0003224379,0.0001266022,0.00009271245,0.000007974547,0.0000966856,0.0001285575,0.9970908,0.001030634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007537038,0.001317303,0.00000245886,0.0004056878,0.002067115,0.0006231423,0.9949974,0.0004734679,0.00003809637],"genre_scores_gemma":[0.000003405022,0.0002329294,0.0001786466,0.0007680998,0.001037962,0.0002410721,0.9890126,0.0003072453,0.008218012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01309632,"threshold_uncertainty_score":0.9992356,"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."}}