{"id":"W2795753568","doi":"10.1139/tcsme-2017-1024","title":"FUZZY COMPREHENSIVE EVALUATION METHOD FOR SYMMETRY DEGREE OF MECHANICAL STRUCTURE SYMMETRY","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Color perception and design","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ningbo University; National Natural Science Foundation of China","keywords":"Symmetry (geometry); Degree (music); Fuzzy logic; Mathematics; Set (abstract data type); Type (biology); Homogeneous space; Fuzzy set; Evaluation methods; Analytic hierarchy process; Hierarchy; Algorithm; Computer science; Artificial intelligence; Geometry; Physics; Engineering; Reliability engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005799141,0.0001729644,0.0003356224,0.00007568236,0.0004629444,0.00002476023,0.0005175961,0.0003741244,0.0002355791],"category_scores_gemma":[0.0001638787,0.0001587366,0.0009158305,0.0001370589,0.00005402285,0.00007156375,0.00001056954,0.0002757802,0.000001184962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731513,"about_ca_system_score_gemma":0.0002159433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006221854,"about_ca_topic_score_gemma":0.01147117,"domain_scores_codex":[0.9987652,0.00004680093,0.0003480535,0.0002779639,0.0002317523,0.0003302115],"domain_scores_gemma":[0.9982558,0.0003465609,0.0001722174,0.0007207025,0.0003088182,0.0001958857],"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":[0.0003743072,0.0002153174,0.00001247296,0.0008892622,0.003081357,7.145084e-7,0.002219245,0.01920504,0.283032,0.5371305,0.004517305,0.1493224],"study_design_scores_gemma":[0.01218316,0.001169704,0.00550027,0.0003107313,0.004012107,0.0000711628,0.004001576,0.7892545,0.1025813,0.06773747,0.01156377,0.001614163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01052883,0.00009220748,0.983491,0.001012225,0.002019376,0.001632942,0.0009466229,0.00003751248,0.000239253],"genre_scores_gemma":[0.9132774,0.000002832852,0.08617736,0.000150525,0.00008190383,0.0001390128,0.00001435058,0.00003642469,0.0001201606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9027486,"threshold_uncertainty_score":0.9405624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07296664089703267,"score_gpt":0.3449353013861361,"score_spread":0.2719686604891034,"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."}}