{"id":"W6898867413","doi":"10.57907/mirri/rcls5z","title":"MIRRI0107174","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; Population; Identification (biology)","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":[0.0008945706,0.0009559871,0.0008644735,0.0005997519,0.0003392681,0.0001582207,0.001882545,0.0004715735,0.9991238],"category_scores_gemma":[0.0005653242,0.00102602,0.0005314137,0.000616834,0.0001113224,0.0001339964,0.00123294,0.001965195,0.9836792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007671089,"about_ca_system_score_gemma":0.0006704758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295824,"about_ca_topic_score_gemma":0.000399299,"domain_scores_codex":[0.9944144,0.0006833876,0.0009342437,0.001327824,0.001536523,0.001103575],"domain_scores_gemma":[0.9959052,0.0003214166,0.0007802562,0.002473024,0.0001194723,0.0004006355],"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":[0.00009213523,0.0004813873,0.00002127131,0.00009023977,0.0002211828,0.0008233015,0.00003215295,0.00005918468,0.0001597763,0.00001334364,0.9977738,0.000232254],"study_design_scores_gemma":[0.001018429,0.00005774945,0.00001701857,0.00004789943,0.0003276686,0.0001286749,0.00009717435,0.00001015146,0.0001035838,0.0001143155,0.9970295,0.001047845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000772036,0.001327596,0.000002705835,0.0003898272,0.002238788,0.000625707,0.9948294,0.0004667417,0.00004210181],"genre_scores_gemma":[0.000003396536,0.0002371599,0.0001982942,0.0008646432,0.001051246,0.0002433039,0.9896687,0.000298409,0.007434889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01544461,"threshold_uncertainty_score":0.999219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744564328423885,"score_gpt":0.2675525907432198,"score_spread":0.2501069474589809,"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."}}