{"id":"W6912338419","doi":"10.5281/zenodo.5283416","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":"","field":"","cited_by":2,"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":[0.0008879298,0.001811286,0.0005980121,0.001049748,0.0005030559,0.00085638,0.001985133,0.001496796,0.06690473],"category_scores_gemma":[0.004822805,0.0007174764,0.0008689811,0.001337016,0.0004258566,0.001244421,0.001181736,0.001506747,0.0387877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009004209,"about_ca_system_score_gemma":0.000992773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007241417,"about_ca_topic_score_gemma":0.009779244,"domain_scores_codex":[0.9993048,0.00009724446,0.00002774609,0.0001931018,0.0003149912,0.0000621623],"domain_scores_gemma":[0.9990213,0.000423957,0.00004172395,0.0002035542,0.0002524641,0.00005698073],"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":[0.0005657777,0.0002912398,0.0008206965,0.0005577985,0.0000981297,0.0001874022,0.00007441942,0.0870247,0.02383071,0.01449313,0.5850626,0.2869934],"study_design_scores_gemma":[0.0003803144,0.00007277676,0.001126615,0.00004245363,0.0000293999,0.000160714,0.0000218573,0.8374423,0.05513082,0.03160283,0.07391793,0.0000719162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01483863,0.0006724576,0.6921896,0.0008728181,0.000683306,0.0001765206,0.0381315,0.2216481,0.03078695],"genre_scores_gemma":[0.1143174,0.0005236972,0.6456511,0.0004920016,0.0002546655,0.0007167704,0.1254706,0.04836928,0.06420448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06690473,"threshold_uncertainty_score":0.2238186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208681437306352,"score_gpt":0.2478871676782202,"score_spread":0.2058003533051567,"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."}}