{"id":"W3037253559","doi":"10.1093/bioinformatics/btaa580","title":"ProbeRating: a recommender system to infer binding profiles for nucleic acid-binding proteins","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Nucleic acid; Computer science; Recommender system; Computational biology; DNA-binding protein; Chemistry; Biochemistry; World Wide Web; Biology; Transcription factor; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002572018,0.0001710731,0.0001779179,0.00004754502,0.000213388,0.0001356726,0.0002328987,0.0001182224,0.000006914942],"category_scores_gemma":[0.0002866325,0.0001487297,0.00008603379,0.0001601657,0.00002239251,0.00001770122,0.000183429,0.0001000429,0.00007365245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004845413,"about_ca_system_score_gemma":0.0000886204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003270685,"about_ca_topic_score_gemma":0.000003698524,"domain_scores_codex":[0.9988103,0.00002250609,0.0003736585,0.0001943398,0.0001759423,0.0004232579],"domain_scores_gemma":[0.9993015,0.00001228702,0.0001104753,0.0002105469,0.00009578228,0.0002693872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001134881,0.0000229254,0.0005875179,0.001073323,0.00006309184,0.000001314947,0.0007445736,0.00006054009,0.9813619,0.0002837332,0.01077535,0.004912247],"study_design_scores_gemma":[0.001303251,0.001532901,0.00004984805,0.0002532449,0.00002133651,0.00001781702,0.003805219,0.06168788,0.8877365,0.00000277311,0.04302865,0.000560579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471282,0.00003395565,0.04715633,0.001544034,0.00009451103,0.002592537,0.0001053357,0.0000838568,0.001261249],"genre_scores_gemma":[0.8847526,0.000007978266,0.1124442,0.001031725,0.0004213325,0.0004960486,0.0002585071,0.00005357367,0.0005339854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09362539,"threshold_uncertainty_score":0.6065022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362828354552438,"score_gpt":0.2824179649258074,"score_spread":0.248789681380283,"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."}}