{"id":"W6974032378","doi":"10.57907/mirri/ol8fh6","title":"MIRRI0058897","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; Segmented filamentous bacteria; Product (mathematics)","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":[0.0008989997,0.0009446448,0.0008612634,0.0006344387,0.0003220972,0.0001569259,0.001855266,0.0004700853,0.9990819],"category_scores_gemma":[0.0005845792,0.001011237,0.0005278285,0.0005977395,0.0001085128,0.0001255395,0.001198897,0.001887249,0.9849445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008066991,"about_ca_system_score_gemma":0.0006740968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269448,"about_ca_topic_score_gemma":0.000440969,"domain_scores_codex":[0.994459,0.0006666623,0.0009139852,0.001350973,0.001520163,0.001089173],"domain_scores_gemma":[0.9959148,0.0003274738,0.0007654116,0.002484087,0.0001147779,0.0003934352],"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":[0.00008965709,0.0004871393,0.00002024735,0.00008622529,0.0002261235,0.0008339707,0.00003016249,0.00005178941,0.0001440321,0.0000147258,0.9977813,0.0002346376],"study_design_scores_gemma":[0.0009889622,0.00006010562,0.00001717704,0.00005011176,0.0003273672,0.0001182189,0.0000935779,0.000008149665,0.00009403102,0.000125538,0.9970845,0.001032251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007255143,0.001412409,0.000002450286,0.0004085617,0.002066585,0.0006215831,0.9948998,0.0004758978,0.00004013314],"genre_scores_gemma":[0.000003456201,0.0002380705,0.0001800415,0.0007918498,0.001045443,0.0002410592,0.9890292,0.0003074114,0.008163456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0141373,"threshold_uncertainty_score":0.9992338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722134253673552,"score_gpt":0.2681937948676261,"score_spread":0.2509724523308905,"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."}}