{"id":"W2498775271","doi":"","title":"Synchronization, TIGoRS, and Information Flow in Complex Systems: Dispositional Cellular Automata.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Synchronization (alternating current); Cellular automaton; Context (archaeology); Computer science; Automaton; Salient; Information flow; Complex system; Argument (complex analysis); Phenomenon; Cognitive science; Theoretical computer science; Artificial intelligence; Physics; Biology; Psychology; Linguistics","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":[0.0002078883,0.00008118418,0.00008961837,0.0001222468,0.0000799167,0.0001766267,0.0002674146,0.00003859094,0.000006031841],"category_scores_gemma":[0.00002329648,0.00006251299,0.00001549213,0.0002710836,0.00003641914,0.001607566,0.0001107402,0.00002934435,0.00005237773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007347644,"about_ca_system_score_gemma":0.00002268522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001468602,"about_ca_topic_score_gemma":0.000003028251,"domain_scores_codex":[0.9991913,0.00003404659,0.0002360541,0.0001624639,0.0001747306,0.0002013613],"domain_scores_gemma":[0.9994702,0.0000481826,0.00006978177,0.0002825251,0.00004957396,0.000079765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003553708,0.00007916304,0.002684617,0.00007013997,0.00001440523,0.000004043668,0.0002379299,0.0002880422,0.0003597788,0.2865114,0.003517874,0.706229],"study_design_scores_gemma":[0.00095422,0.000007760887,0.4453036,0.00002673461,0.000005444956,0.00002611922,0.00001150782,0.4743585,0.0003403846,0.001322083,0.07738322,0.0002604742],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01233522,0.00009357827,0.983579,0.002205016,0.0001031051,0.000596276,0.00003475992,0.0002104425,0.0008425493],"genre_scores_gemma":[0.9967507,0.00002154024,0.002219615,0.00009370783,0.00003212695,0.0007157538,0.00008185019,0.000003893765,0.00008088373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9844154,"threshold_uncertainty_score":0.2549206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009002847387088408,"score_gpt":0.1777524463389916,"score_spread":0.1687495989519033,"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."}}