{"id":"W2787342725","doi":"","title":"A Diffusion-approximation Approach to Model Self-organization of Nuclear Proteins","year":2009,"lang":"en","type":"article","venue":"AUSpace (Athabasca University)","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Presentation (obstetrics); Population; Data presentation; Fluorescence recovery after photobleaching; Computer science; Library science; Operations research; Data science; Chemistry; Sociology; Engineering; Data collection; Medicine; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004119067,0.0001155803,0.0001100217,0.0001144832,0.00008238499,0.00001145352,0.0002303888,0.0001362616,0.000003800433],"category_scores_gemma":[0.00003020149,0.0001248551,0.00004762819,0.000325274,0.00001910262,0.00001459631,0.0001096146,0.00005584041,0.000002978241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003482953,"about_ca_system_score_gemma":0.00005657103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001628483,"about_ca_topic_score_gemma":0.000006275109,"domain_scores_codex":[0.9993839,0.00002367567,0.00008028856,0.0002575336,0.000116173,0.0001384121],"domain_scores_gemma":[0.9994416,0.000001671937,0.00007496914,0.000272503,0.0001324482,0.00007677706],"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":[0.0001115681,0.0003884767,0.0006781369,0.00004417736,0.00005077741,0.000002544926,0.001458245,0.004271825,0.9632668,0.02746039,0.001271439,0.0009956282],"study_design_scores_gemma":[0.008824778,0.004603334,0.0335632,0.0002023282,0.0005540404,0.00009019946,0.004339958,0.1845424,0.6875463,0.004387317,0.06745608,0.003890107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7975101,0.000008415851,0.191493,0.0002784694,0.00001540914,0.0004231398,0.00001303865,0.00004735816,0.01021098],"genre_scores_gemma":[0.9378272,0.00001660778,0.06088026,0.0001360533,0.00002732603,4.02972e-7,0.00007111475,0.00001336485,0.001027657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2757205,"threshold_uncertainty_score":0.5091444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004074647242774117,"score_gpt":0.176095513806978,"score_spread":0.1720208665642039,"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."}}