{"id":"W6936000475","doi":"10.57907/mirri/2azloi","title":"MIRRI0050750","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":"Taxon; Organism; Identification (biology); Population","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":[0.0008968415,0.000942317,0.0008597024,0.0006494954,0.0003215298,0.0001569962,0.001850425,0.0004693856,0.9991505],"category_scores_gemma":[0.0005958886,0.001009717,0.0005215176,0.0006144221,0.0001082975,0.0001251498,0.001200123,0.00188265,0.9848043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000801605,"about_ca_system_score_gemma":0.0006509617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169344,"about_ca_topic_score_gemma":0.0004233995,"domain_scores_codex":[0.9944763,0.000666489,0.0009123439,0.001347309,0.001510355,0.001087167],"domain_scores_gemma":[0.9959256,0.0003267849,0.0007648706,0.002479937,0.000109864,0.0003929264],"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":[0.00009005423,0.000484808,0.00001937027,0.00008570249,0.0002254352,0.0008190785,0.00002886048,0.00004809622,0.0001434601,0.00001854161,0.9978262,0.0002103618],"study_design_scores_gemma":[0.0009831636,0.00006014089,0.00001719157,0.00004979287,0.0003271639,0.0001213694,0.00008893806,0.000007691622,0.00008163365,0.0001264008,0.9971056,0.001030934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006925755,0.001381975,0.000002494457,0.0003889384,0.002030735,0.0006190517,0.9949867,0.0004751204,0.00004579382],"genre_scores_gemma":[0.000003147724,0.0002282546,0.0001902896,0.0007953222,0.001043681,0.0002407362,0.9887713,0.0003073656,0.008419924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0143462,"threshold_uncertainty_score":0.9992353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719738387027063,"score_gpt":0.2678788927673062,"score_spread":0.2506815088970356,"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."}}