{"id":"W4205309786","doi":"10.21065/24122580","title":"Journal of Applied Molecular Cell Biology","year":2020,"lang":"en","type":"paratext","venue":"Journal of Applied Molecular Cell Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computational biology; Biology; Evolutionary biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001270071,0.0009718611,0.002034406,0.0007151164,0.0001060361,0.00008179429,0.00238502,0.002510538,0.0003804124],"category_scores_gemma":[0.0001776938,0.0008015195,0.001146703,0.0003976235,0.000858754,0.000006845366,0.0008249249,0.002184058,0.0004490443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020518,"about_ca_system_score_gemma":0.001813239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000427672,"about_ca_topic_score_gemma":0.00000103056,"domain_scores_codex":[0.9941223,0.0002700011,0.002907253,0.000741339,0.0007802839,0.001178819],"domain_scores_gemma":[0.9935005,0.00009296133,0.003618217,0.0008154862,0.001028898,0.0009439709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001259877,0.0002646683,0.000003428835,0.0004595277,0.0006801972,0.0001209628,0.0001135296,0.0004158198,0.918841,0.0001419266,0.05365384,0.02404524],"study_design_scores_gemma":[0.001999826,0.002339592,5.843746e-7,0.00003328285,0.0001967801,0.00002388177,0.000155458,0.00001869179,0.4491945,0.0004528241,0.5450989,0.0004856923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04330245,0.02818086,0.07358517,0.0009357678,0.006379244,0.001735441,0.0005151189,0.00001835809,0.8453476],"genre_scores_gemma":[0.9492096,0.02064192,0.0184624,0.004216777,0.003851041,0.00002913891,0.001520607,0.000292577,0.001775895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9059072,"threshold_uncertainty_score":0.9994436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028961097507001,"score_gpt":0.2624440856058576,"score_spread":0.2521544746307876,"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."}}