{"id":"W4234257018","doi":"10.3410/f.735004827.793556354","title":"Faculty Opinions recommendation of Mapping DNA sequence to transcription factor binding energy in vivo.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transcription factor; Computational biology; DNA binding site; In vivo; DNA; Sequence (biology); Genetics; Computer science; Biology; Gene; Promoter; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389132,0.003671119,0.002579526,0.003055638,0.001006649,0.003092163,0.003713119,0.003829845,0.09376818],"category_scores_gemma":[0.006992394,0.001055184,0.002307305,0.004692385,0.0004362662,0.00171399,0.001855414,0.002696305,0.122584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676627,"about_ca_system_score_gemma":0.00258987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02055799,"about_ca_topic_score_gemma":0.05029066,"domain_scores_codex":[0.9985226,0.0001998324,0.0001193132,0.0005868015,0.000381207,0.0001902136],"domain_scores_gemma":[0.997195,0.0009685577,0.0002305617,0.0007431245,0.0005165596,0.0003461851],"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":[0.0001634932,0.00004529512,0.001145877,0.001283732,0.00008103286,0.00003178626,0.00001479444,0.0004523363,0.0005822524,0.0003585868,0.9928573,0.002983521],"study_design_scores_gemma":[0.0007376419,0.00005414843,0.006944089,0.0004726524,0.000145366,0.0001249601,0.00005325263,0.001992391,0.001965755,0.003122207,0.9843241,0.00006331583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001754795,0.0001288323,0.0001088488,0.00007191631,0.00003144293,0.000008442149,0.9980071,0.0007826061,0.0006854192],"genre_scores_gemma":[0.0004840496,0.00007186097,0.0004013266,0.00007822993,0.000006057031,0.00003512202,0.9983297,0.0001002012,0.0004934844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09376818,"threshold_uncertainty_score":0.3136858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929031454741172,"score_gpt":0.3441002474903889,"score_spread":0.2948099329429772,"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."}}