{"id":"W6939247202","doi":"10.6084/m9.figshare.16689819.v1","title":"Additional file 18 of Biologically relevant transfer learning improves transcription factor binding prediction","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Transfer of learning; Transcription factor; Transcription (linguistics); Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002584951,0.001596528,0.001931037,0.003287473,0.0008058839,0.002596921,0.002661954,0.001843487,0.8788152],"category_scores_gemma":[0.03808548,0.000757638,0.001920931,0.003827544,0.0003388685,0.002716274,0.001307933,0.001352525,0.3173877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386086,"about_ca_system_score_gemma":0.002017257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004245691,"about_ca_topic_score_gemma":0.008373308,"domain_scores_codex":[0.998903,0.0002250693,0.0001268305,0.0003451561,0.0002964106,0.0001035664],"domain_scores_gemma":[0.9743877,0.01960792,0.0008758639,0.001396009,0.003194027,0.0005384862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002012472,0.00002079334,0.0003993858,0.00309202,0.00005647394,0.0000425822,0.0000189257,0.000266332,0.0001517417,0.0004347792,0.9856185,0.009697179],"study_design_scores_gemma":[0.002730016,0.0001796505,0.006832227,0.002813416,0.0002990459,0.0003365673,0.00009259106,0.001558184,0.001387182,0.01145628,0.9721839,0.0001308437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001239813,0.0002958047,0.0008273466,0.0004299057,0.0002067396,0.00007002577,0.9948202,0.001537431,0.001688541],"genre_scores_gemma":[0.006657368,0.0008871154,0.007348082,0.001559284,0.0005765357,0.001439113,0.9571076,0.004116604,0.02030822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8788152,"threshold_uncertainty_score":0.1728554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757018185994196,"score_gpt":0.2107829879988028,"score_spread":0.1932128061388608,"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."}}