{"id":"W2952551747","doi":"10.48550/arxiv.1302.2840","title":"Hypergraph Automata: A Theoretical Model for Patterned Self-assembly","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Hypergraph; Automaton; Computer science; Expressive power; Mobile automaton; Class (philosophy); Existential quantification; Theoretical computer science; Automata theory; Discrete mathematics; Algorithm; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003965854,0.0003890559,0.0004451931,0.0005583288,0.0008321361,0.002317329,0.001450206,0.001486874,0.005361091],"category_scores_gemma":[0.00184111,0.0004127263,0.0009175844,0.0006148313,0.00251078,0.0034945,0.001131377,0.001368062,0.0009373436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126037,"about_ca_system_score_gemma":0.0007862209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598737,"about_ca_topic_score_gemma":0.001289308,"domain_scores_codex":[0.9995291,0.000126864,0.00002976457,0.00013314,0.0001175149,0.00006366555],"domain_scores_gemma":[0.9989454,0.0005621685,0.00009503745,0.0002203113,0.0001026601,0.00007442456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001541435,0.00001490434,0.0001722878,0.00003582175,0.000007202094,0.00009077031,0.0001532743,0.02280767,0.002287154,0.9713507,0.0004353436,0.002629446],"study_design_scores_gemma":[0.00001675464,0.00002403601,0.00007864429,0.00001503934,0.000009701531,0.00008991855,0.00008238778,0.2020013,0.001659438,0.7915378,0.00446996,0.00001501246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09609882,0.000588541,0.8747432,0.001000111,0.0001148266,0.0001051187,0.000337853,0.0007147054,0.02629679],"genre_scores_gemma":[0.8492965,0.0007479116,0.1293756,0.0003690153,0.0001068528,0.0004717743,0.0004079558,0.0001900718,0.0190345],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005361091,"threshold_uncertainty_score":0.01793462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04285513498320683,"score_gpt":0.1943131016251042,"score_spread":0.1514579666418974,"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."}}