{"id":"W6931398632","doi":"10.5281/zenodo.5283415","title":"Biologically-relevant transfer learning improves transcription factor binding prediction: TF binding matrices","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Psoriasis: Treatment and Pathogenesis","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transcription factor; Binding site; Transcription (linguistics); Transfer of learning; DNA-binding protein; Plasma protein binding","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":[0.0007481107,0.00160936,0.0004969176,0.0008996016,0.0004329433,0.0007975184,0.001815321,0.001388041,0.06219168],"category_scores_gemma":[0.004313934,0.0006218496,0.0008438046,0.001107649,0.0003330586,0.001181311,0.0009076716,0.001478815,0.03313943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007417985,"about_ca_system_score_gemma":0.0008844997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006225497,"about_ca_topic_score_gemma":0.008632769,"domain_scores_codex":[0.9994997,0.00007121905,0.00002327911,0.0001443597,0.000212588,0.00004889202],"domain_scores_gemma":[0.9991623,0.0004093549,0.00003799345,0.0001488419,0.0001989912,0.000042527],"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":[0.000589504,0.0003572803,0.001231105,0.000613238,0.0001121505,0.0002471503,0.00008010601,0.1169673,0.02706496,0.01415829,0.4534056,0.3851734],"study_design_scores_gemma":[0.0002677875,0.00006657607,0.0009786315,0.00003988605,0.00002530389,0.0001672749,0.00002101859,0.8708328,0.04317069,0.02708569,0.05728882,0.00005556568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01387519,0.0006977344,0.7700245,0.0007321153,0.0006162128,0.0001550173,0.0235649,0.167644,0.02269037],"genre_scores_gemma":[0.1175885,0.0006159953,0.7114458,0.0004999982,0.0002776031,0.0006741214,0.08063666,0.03441923,0.05384203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06219168,"threshold_uncertainty_score":0.2080519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0349022198829428,"score_gpt":0.2324883411253883,"score_spread":0.1975861212424455,"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."}}