{"id":"W6973617288","doi":"10.57907/mirri/q01dyh","title":"MIRRI0061289","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); Segmented filamentous bacteria","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":[0.0008842187,0.0009457211,0.0008617575,0.0006352458,0.0003240672,0.0001570492,0.001841531,0.0004693704,0.9991518],"category_scores_gemma":[0.000612426,0.001009913,0.0005292092,0.0006003529,0.0001083388,0.0001237607,0.001192625,0.001870164,0.9858561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007899113,"about_ca_system_score_gemma":0.0006736044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409283,"about_ca_topic_score_gemma":0.0004137727,"domain_scores_codex":[0.9944635,0.0006792345,0.0009122669,0.001347352,0.001516581,0.001081081],"domain_scores_gemma":[0.9959144,0.0003380159,0.0007673174,0.00247153,0.0001175131,0.0003912183],"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":[0.00008936244,0.0004813588,0.00002188264,0.00008754384,0.0002184379,0.0008309474,0.00002985772,0.00004993374,0.0001588324,0.00001274544,0.9977868,0.0002323668],"study_design_scores_gemma":[0.0009750804,0.00006072773,0.00001795554,0.00004922453,0.000318754,0.0001190049,0.0000920872,0.00000778429,0.0001277945,0.0001262279,0.9970745,0.001030889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006151485,0.001368938,0.000003503306,0.0003858113,0.00206191,0.0006242051,0.9949842,0.0004734141,0.00003649101],"genre_scores_gemma":[0.000003562569,0.0002402603,0.000174028,0.0007594064,0.001006745,0.0002364684,0.9894787,0.0003074169,0.007793392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01329577,"threshold_uncertainty_score":0.9992352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698394046093043,"score_gpt":0.2672471155545828,"score_spread":0.2502631750936524,"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."}}