{"id":"W2178290447","doi":"10.1039/c5mb00640f","title":"Molecular recognition features (MoRFs) in three domains of life","year":2015,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Three-domain system; Context (archaeology); Intrinsically disordered proteins; Biology; Archaea; Protein Data Bank (RCSB PDB); Computational biology; Chemistry; Biochemistry; Genetics; Bacteria","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":[0.0003193495,0.0002286957,0.0002955501,0.0001237447,0.00002053385,0.00002174761,0.0002665872,0.0003167928,0.000003048313],"category_scores_gemma":[0.0002189481,0.0002220287,0.0001355193,0.0002363546,0.00007066233,0.000005111951,0.0001198473,0.0001257747,0.00000826912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887514,"about_ca_system_score_gemma":0.0001623748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001966444,"about_ca_topic_score_gemma":0.0002948714,"domain_scores_codex":[0.998492,0.0001368983,0.0003832822,0.000401709,0.0002970433,0.0002890725],"domain_scores_gemma":[0.9989551,0.000005324582,0.0001657435,0.000529522,0.0001640844,0.000180227],"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":[0.0001457672,0.00005011576,0.002206359,0.00006687988,0.00006994572,0.00005551338,0.00004199979,0.0002947325,0.995289,0.0006115843,0.0002291324,0.0009389445],"study_design_scores_gemma":[0.00216078,0.0004722404,0.001503483,0.00009586911,0.00003500486,0.00007336552,0.0001626384,0.000211874,0.9896376,0.003563021,0.001571357,0.0005127842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985109,0.003691231,0.008113095,0.0001006982,0.0002359877,0.0004553811,0.00004813242,0.00001800902,0.002228487],"genre_scores_gemma":[0.9979821,0.00002015685,0.001305892,0.000265229,0.00009936654,0.00003824266,0.0002277593,0.00003862792,0.00002259278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01287315,"threshold_uncertainty_score":0.9054067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070563939784221,"score_gpt":0.2292240070850129,"score_spread":0.2185183676871707,"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."}}