{"id":"W2102089979","doi":"10.1093/bioinformatics/btu453","title":"Effects of small particle numbers on long-term behaviour in discrete biochemical systems","year":2014,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft","keywords":"Markup language; Computer science; Term (time); Theoretical computer science; Extension (predicate logic); Systems biology; Computational biology; Biology; XML; Programming language; World Wide Web; Physics","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":[0.000134369,0.0001374286,0.0001746161,0.0000337641,0.00001949667,0.00001780816,0.0001648331,0.0001560665,0.000001170575],"category_scores_gemma":[0.00006858978,0.0001223241,0.00007002107,0.00006590698,0.00005334649,0.00000426944,0.0000716229,0.00007519122,0.00001361578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001463026,"about_ca_system_score_gemma":0.00002021224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000277165,"about_ca_topic_score_gemma":0.00002355091,"domain_scores_codex":[0.9991763,0.00003220487,0.0003453298,0.000124198,0.00009686738,0.0002251439],"domain_scores_gemma":[0.9994692,0.00002479871,0.0001207934,0.0002822749,0.00002979592,0.00007317009],"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":[0.0001686755,0.000405228,0.1594636,0.00151691,0.00007453189,0.000005084674,0.0003638125,0.0002630293,0.8336154,0.001315932,0.0008214479,0.001986369],"study_design_scores_gemma":[0.001655927,0.0005990006,0.04285815,0.0002687426,0.00004718494,0.00001316601,0.00007505685,0.007699246,0.9460918,0.000009505181,0.0003176584,0.0003646109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944683,0.0001250643,0.004604622,0.00001091652,0.0001200121,0.0002626024,0.00001015216,0.000009104822,0.000389189],"genre_scores_gemma":[0.9987503,0.00006104697,0.0008413289,0.00008945285,0.00005293097,0.00001913774,0.00007986354,0.00001410264,0.00009180685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1166054,"threshold_uncertainty_score":0.4988234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005476390262512516,"score_gpt":0.2231076173771024,"score_spread":0.2176312271145899,"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."}}