{"id":"W2366093519","doi":"10.1093/nar/gkw409","title":"MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences","year":2016,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Genome British Columbia; Michael Smith Health Research BC; Genome Canada","keywords":"Biology; Software; Web server; Identification (biology); Computational biology; Computer science; Bioinformatics; The Internet; World Wide Web; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054271,0.001684671,0.001223742,0.001628063,0.0008976044,0.001142253,0.002700764,0.001037347,0.02757133],"category_scores_gemma":[0.002922231,0.0009663206,0.001282152,0.001254215,0.0003039165,0.001234724,0.00171704,0.002055351,0.01798599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007448923,"about_ca_system_score_gemma":0.002064417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004677079,"about_ca_topic_score_gemma":0.005268144,"domain_scores_codex":[0.9995795,0.00006501286,0.00003305455,0.0001074965,0.0001486382,0.0000663621],"domain_scores_gemma":[0.9991731,0.0003806736,0.0001026313,0.0001275684,0.0001415272,0.00007450645],"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":[0.001424639,0.0002122553,0.00961118,0.002075886,0.0005662509,0.0005793939,0.0003376795,0.01237121,0.02801769,0.006972588,0.7369103,0.2009209],"study_design_scores_gemma":[0.0005386999,0.0003074048,0.01685942,0.0004199333,0.0003294749,0.001478875,0.0002164691,0.4525374,0.08532936,0.01839205,0.4232235,0.0003675257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01755102,0.001271381,0.2372286,0.0003399215,0.0002208299,0.0003469083,0.05664859,0.6790986,0.0072941],"genre_scores_gemma":[0.1180605,0.001734344,0.5371334,0.001063028,0.0001593452,0.00228913,0.2629721,0.06028694,0.0163012],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02757133,"threshold_uncertainty_score":0.09223527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208792933643683,"score_gpt":0.3482737489374061,"score_spread":0.3061858196009692,"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."}}