{"id":"W6917647490","doi":"10.57907/mirri/likoxu","title":"MIRRI0055240","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":[0.00090831,0.0009439876,0.0008601134,0.0006409092,0.0003253353,0.0001580748,0.00186673,0.0004707607,0.9990497],"category_scores_gemma":[0.0006030515,0.001010926,0.000750624,0.0006041835,0.0001077986,0.0001269306,0.001212499,0.001885577,0.9847587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008072439,"about_ca_system_score_gemma":0.0006768449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267754,"about_ca_topic_score_gemma":0.0004248409,"domain_scores_codex":[0.9944382,0.000668923,0.0009118558,0.001353796,0.001537167,0.001090024],"domain_scores_gemma":[0.9959203,0.0003267806,0.0007466549,0.002497069,0.0001143859,0.000394807],"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":[0.00009121645,0.0004843997,0.00001624572,0.00008445658,0.0003043811,0.0008544866,0.00003028678,0.0000489388,0.0001221617,0.00001356917,0.997672,0.0002778833],"study_design_scores_gemma":[0.0009910261,0.00005977165,0.00001527463,0.00004970443,0.0004154965,0.0001193868,0.00009005979,0.000005318216,0.000103887,0.0001205342,0.9969975,0.001031989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005503444,0.00167357,0.000003069895,0.0004205685,0.002062788,0.0006183438,0.9946516,0.0004757837,0.00003929866],"genre_scores_gemma":[0.000003819996,0.0002377238,0.0001675024,0.0008025242,0.001040092,0.0002411451,0.9891406,0.0003078635,0.008058695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01429105,"threshold_uncertainty_score":0.9992341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172373300042004,"score_gpt":0.2681291829852216,"score_spread":0.2508918529810212,"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."}}