{"id":"W6973642679","doi":"10.57907/mirri/pwmuro","title":"MIRRI0073135","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; Segmented filamentous bacteria; 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":[0.0008741502,0.0009434472,0.000864853,0.0006403497,0.0003221265,0.000154167,0.001818408,0.0004725129,0.9990184],"category_scores_gemma":[0.0006291669,0.00101058,0.0005272178,0.0006097526,0.0001071205,0.0001223542,0.001202549,0.001883276,0.9846295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007967129,"about_ca_system_score_gemma":0.0006666406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295712,"about_ca_topic_score_gemma":0.0003954952,"domain_scores_codex":[0.9944863,0.0006436064,0.000913076,0.001346841,0.001521353,0.001088766],"domain_scores_gemma":[0.9958905,0.0003417303,0.0007803857,0.00247483,0.0001253655,0.0003871754],"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":[0.00009120578,0.0004692754,0.00002059269,0.00008853873,0.0002197416,0.0008818698,0.00002900707,0.00004901321,0.0001524617,0.00001598,0.9977632,0.000219159],"study_design_scores_gemma":[0.000982563,0.000061819,0.00001716677,0.00005021606,0.000321236,0.0001295615,0.00009538046,0.000007148745,0.00009511256,0.0001340915,0.997075,0.001030684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007941909,0.001397073,0.000002375784,0.0004065714,0.00211929,0.000617329,0.9948788,0.000460019,0.00003913404],"genre_scores_gemma":[0.000003283579,0.00024418,0.000174189,0.0008519227,0.001010518,0.0002428271,0.9895374,0.0003075681,0.007628114],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01438895,"threshold_uncertainty_score":0.9992344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738172440153386,"score_gpt":0.2690397766133712,"score_spread":0.2516580522118373,"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."}}