{"id":"W6898733856","doi":"10.57907/mirri/eblt9z","title":"MIRRI0052422","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; 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":[0.0009377229,0.0009733069,0.0008861062,0.0006629907,0.0003425443,0.0001612761,0.00192422,0.0004772717,0.9991596],"category_scores_gemma":[0.0006001104,0.001045518,0.0005475889,0.0006232782,0.0001146236,0.0001312168,0.001270497,0.001969337,0.9843575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008500929,"about_ca_system_score_gemma":0.000691223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309383,"about_ca_topic_score_gemma":0.0004597315,"domain_scores_codex":[0.9942562,0.0007013223,0.0009432117,0.001392332,0.001584298,0.001122648],"domain_scores_gemma":[0.9957944,0.0003335662,0.0007987864,0.002550424,0.0001175392,0.0004052961],"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":[0.00009334595,0.0005090124,0.00002215155,0.00008669806,0.0002338349,0.0008498721,0.00003113768,0.0000384738,0.0001723162,0.00001323752,0.9977171,0.0002328201],"study_design_scores_gemma":[0.001015183,0.00006387681,0.00001468809,0.00004859555,0.0003362003,0.0001236839,0.0000994891,0.000007559062,0.0001278004,0.0001270153,0.9969679,0.001068062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009425579,0.00156199,0.000002328062,0.0004191549,0.002097894,0.0006497276,0.9946483,0.0004913292,0.00003505661],"genre_scores_gemma":[0.000004116722,0.0002462984,0.0001750115,0.0007780641,0.00104861,0.0002494529,0.9891126,0.0003184281,0.008067396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01480218,"threshold_uncertainty_score":0.9991995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721728434535652,"score_gpt":0.2680126296600948,"score_spread":0.2507953453147383,"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."}}