{"id":"W2167957330","doi":"10.5555/1516744.1516892","title":"Vesicle-synapsin interactions modeled with Cell-DEVS","year":2008,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Synapsin; Vesicle; Synapsin I; Synaptic vesicle; Cellular automaton; Vesicle fusion; Computer science; Biophysics; Chemistry; Cell biology; Biological system; Biology; Artificial intelligence; Biochemistry; Membrane","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":[0.00004643069,0.0001446388,0.0001291582,0.00009540242,0.0002250265,0.0001202946,0.0005100827,0.00003574158,0.000128601],"category_scores_gemma":[0.000008436937,0.0001273534,0.00004702578,0.0002956822,0.00006179161,0.0007397081,0.0001075735,0.0001326953,0.0002741507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003392356,"about_ca_system_score_gemma":0.00009807454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186227,"about_ca_topic_score_gemma":0.0000153884,"domain_scores_codex":[0.9989795,0.00003474511,0.0002220991,0.000371686,0.0002004374,0.0001915303],"domain_scores_gemma":[0.9989011,0.0001013107,0.0001003548,0.0006027315,0.0002046999,0.00008981814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001361976,0.001437809,0.005973986,0.00006344751,0.0001426366,0.0001321396,0.01927429,0.7462926,0.04667382,0.1294028,0.004901289,0.04556895],"study_design_scores_gemma":[0.0003573062,0.00004193728,0.001802065,0.00001529638,0.000005525933,0.00002784437,0.00002533933,0.9871308,0.004108702,0.0004761106,0.005827699,0.0001814414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.127324,0.000009119254,0.8645203,0.0005521792,0.00007972003,0.0001610013,0.000002947263,0.0002603464,0.007090348],"genre_scores_gemma":[0.9792207,0.000002801582,0.01862862,0.0001754139,0.00003363498,0.00003152679,0.00001473768,0.000009931854,0.001882589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8518967,"threshold_uncertainty_score":0.5193321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134901509662919,"score_gpt":0.2569032669288688,"score_spread":0.2155542518322396,"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."}}