{"id":"W6955097032","doi":"10.57907/mirri/dyojdo","title":"MIRRI0046666","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); Confusion","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":[0.0008974629,0.000957081,0.0008731533,0.0006447322,0.0003283712,0.000158781,0.0018728,0.0004764419,0.9990622],"category_scores_gemma":[0.0006138968,0.001024592,0.0005446498,0.0006189466,0.0001111112,0.0001262551,0.001210236,0.001910154,0.9847754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296676,"about_ca_system_score_gemma":0.0006919806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451897,"about_ca_topic_score_gemma":0.0004607324,"domain_scores_codex":[0.9944046,0.0006685671,0.0009235084,0.001367988,0.001537763,0.001097614],"domain_scores_gemma":[0.9958709,0.0003320285,0.0007715033,0.002510556,0.0001193771,0.0003956154],"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":[0.00009138689,0.0004895265,0.00002208427,0.00009038667,0.0002282059,0.0008710353,0.00003448048,0.00005441633,0.0001498789,0.00001463024,0.9977335,0.0002204068],"study_design_scores_gemma":[0.001007696,0.00006243044,0.00001753604,0.00005157184,0.0003298109,0.0001255512,0.00009111784,0.000007749662,0.00009383815,0.0001369533,0.9970298,0.001045956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000082067,0.001413674,0.000002457217,0.0004117586,0.002112214,0.0006339429,0.9948204,0.0004877267,0.00003577177],"genre_scores_gemma":[0.000003368069,0.0002373683,0.0001826453,0.000787873,0.001023768,0.0002459942,0.9885349,0.0003114548,0.008672619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0142868,"threshold_uncertainty_score":0.9992204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718230788061879,"score_gpt":0.2678958363395831,"score_spread":0.2507135284589643,"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."}}