{"id":"W4246716906","doi":"10.3410/f.733066720.793567510","title":"Faculty Opinions recommendation of Random sequences rapidly evolve into de novo promoters.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Promoter; Computational biology; Computer science; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002367744,0.0005053462,0.0008476431,0.0002830972,0.0001783382,0.0001240978,0.002073791,0.001098766,0.0002316376],"category_scores_gemma":[0.009370779,0.0003216625,0.0006837539,0.0009649988,0.0007214415,0.00003832339,0.0007828309,0.000833016,0.0000575258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009163958,"about_ca_system_score_gemma":0.001350286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005866076,"about_ca_topic_score_gemma":0.00001293234,"domain_scores_codex":[0.99523,0.0004896037,0.001578464,0.0006458023,0.001546445,0.0005097484],"domain_scores_gemma":[0.9921626,0.00009411773,0.001186705,0.001498019,0.004661783,0.0003967853],"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":[0.00005154816,0.0002427348,0.000009091719,0.008503173,0.0001945339,2.200101e-7,0.0001179798,2.081024e-7,0.0001497798,0.00001223487,0.987245,0.003473498],"study_design_scores_gemma":[0.001283803,0.000440252,0.0002284851,0.004234158,0.0001138569,0.00003468768,0.00006219415,0.00002379166,0.0006170129,0.00002769089,0.9925929,0.0003411283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006526831,0.001456153,0.0002778155,0.08205501,0.0007873693,0.001519969,0.9138162,0.00001147753,0.00006952108],"genre_scores_gemma":[0.00004026107,0.001865332,0.002188195,0.003355065,0.0004315439,0.0001503852,0.9908506,0.0000242909,0.001094342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07869995,"threshold_uncertainty_score":0.9999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094098826331163,"score_gpt":0.3625579761816588,"score_spread":0.3316169879183472,"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."}}