{"id":"W2742588600","doi":"10.3233/fi-2017-1564","title":"Smart Tile Self-Assembly and Replication","year":2017,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tile; Replication (statistics); Computer science; Replica; Turing machine; Distributed computing; Enhanced Data Rates for GSM Evolution; Simple (philosophy); Regular polygon; Table (database); Turing; Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Computation; Geometry; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002665851,0.0002807736,0.0004893515,0.0003112381,0.0005230187,0.0008921177,0.0007929002,0.0007441296,0.001968712],"category_scores_gemma":[0.0009088127,0.0003352105,0.0006107157,0.0002344899,0.001686648,0.001158728,0.00146556,0.0006542032,0.000715984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003494514,"about_ca_system_score_gemma":0.0003509337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000442956,"about_ca_topic_score_gemma":0.0003307311,"domain_scores_codex":[0.9996721,0.00005544847,0.00001756061,0.00008872258,0.0001150834,0.00005116967],"domain_scores_gemma":[0.9995556,0.0001030593,0.00006888837,0.0001743586,0.00005190479,0.00004611232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007758923,0.00002963849,0.0004553045,0.0002290837,0.00002260181,0.0003821097,0.000346907,0.1157037,0.08032977,0.7731299,0.001578506,0.02771481],"study_design_scores_gemma":[0.00004205989,0.0002045423,0.0004338655,0.00004796391,0.00002416218,0.000570032,0.0001296809,0.5806364,0.05777137,0.3165793,0.04349588,0.00006465739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07741299,0.001549802,0.8871577,0.000416474,0.0003234866,0.000070072,0.0000784006,0.0007974844,0.03219363],"genre_scores_gemma":[0.8416273,0.001157627,0.1393355,0.0002404155,0.0001112017,0.0002586601,0.0001416424,0.000153455,0.01697429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001968712,"threshold_uncertainty_score":0.006586015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639877537713156,"score_gpt":0.2479260255458468,"score_spread":0.2315272501687153,"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."}}