{"id":"W2316662864","doi":"10.4161/idp.24428","title":"MFDp2","year":2013,"lang":"en","type":"article","venue":"Intrinsically Disordered Proteins","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Intrinsically disordered proteins; Web server; Benchmark (surveying); Template; Matthews correlation coefficient; Receiver operating characteristic; Sequence (biology); Protein structure prediction; Set (abstract data type); Data mining; Artificial intelligence; Protein structure; Machine learning; Biology; The Internet; Operating system; Support vector machine; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005748577,0.0001977175,0.0001497445,0.00003934418,0.00008855741,0.00006259007,0.0003017002,0.0001981153,0.000216423],"category_scores_gemma":[0.000145922,0.0001730289,0.0001016328,0.0001097906,0.00009690393,0.000007671194,0.0001857107,0.0001453898,0.0002573947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009934065,"about_ca_system_score_gemma":0.0000697966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165925,"about_ca_topic_score_gemma":0.00005152233,"domain_scores_codex":[0.998859,0.00004265639,0.0002223524,0.0003788143,0.0001564927,0.000340673],"domain_scores_gemma":[0.9991628,0.000006890121,0.0000653223,0.0005065645,0.0001287612,0.0001296425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008598812,0.0001847884,0.002579967,0.00003255398,0.0000977175,0.000005171482,0.00005993392,0.0000394005,0.8401148,0.005825295,0.00374213,0.1472323],"study_design_scores_gemma":[0.004845636,0.002780303,0.09968629,0.00006527092,0.00006227036,0.0001322541,0.0002120865,0.000724958,0.3261689,0.07760729,0.4851177,0.002597117],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607322,0.0004622158,0.02322436,0.001469391,0.0001428291,0.001410011,0.00001579761,0.00007775009,0.01246545],"genre_scores_gemma":[0.9899463,0.00005346866,0.00728779,0.0006851912,0.0002684258,0.0003463135,0.00007661594,0.00003425482,0.001301636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5139459,"threshold_uncertainty_score":0.7055913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003727707866137968,"score_gpt":0.2078889605436874,"score_spread":0.2041612526775495,"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."}}