{"id":"W4404580150","doi":"10.1016/j.engappai.2024.109671","title":"Dynamic localization based-utility decision approach under type-2 Pythagorean fuzzy set for developing internet of modular self-reconfiguration robot things","year":2024,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Control reconfiguration; Pythagorean theorem; Modular design; Robot; Set (abstract data type); Fuzzy logic; The Internet; Artificial intelligence; Theoretical computer science; Embedded system; World Wide Web; Programming language; Mathematics","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":[0.0006292861,0.0004754738,0.0006664831,0.0004478274,0.000530852,0.0008826421,0.0007519861,0.0005229615,0.001048747],"category_scores_gemma":[0.0007651989,0.0002575881,0.0005830881,0.0003797728,0.00042168,0.0007470456,0.0005954232,0.0004781819,0.00007981582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019133,"about_ca_system_score_gemma":0.0007331626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051361,"about_ca_topic_score_gemma":0.004382239,"domain_scores_codex":[0.9997188,0.00006422248,0.00001489235,0.00008301937,0.00007131609,0.00004770908],"domain_scores_gemma":[0.9997883,0.0000954556,0.00002944057,0.00001207173,0.0000594005,0.00001533728],"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":[0.00007137787,0.00006310584,0.001116083,0.00009118023,0.00006588694,0.0002778969,0.0001499234,0.9173829,0.005431437,0.03546489,0.0006962391,0.03918919],"study_design_scores_gemma":[0.000003180182,0.00002061298,0.00009303326,0.000002908752,0.000008459728,0.00001636126,0.000012035,0.9963915,0.0004302001,0.002891787,0.0001257121,0.000004166166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04999259,0.0001830388,0.9453995,0.0001281467,0.00004146704,0.00003891558,0.00002256946,0.0001042525,0.004089525],"genre_scores_gemma":[0.9551525,0.00009744407,0.04269267,0.00003385765,0.00001209681,0.00004697227,0.00002742331,0.0000111936,0.001925896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005051361,"threshold_uncertainty_score":0.01004392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648089593987643,"score_gpt":0.2729325186900524,"score_spread":0.2464516227501759,"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."}}