{"id":"W2484023053","doi":"10.1016/j.cie.2015.06.021","title":"Ordered visibility graph weighted averaging aggregation operator: A methodology based on network analysis","year":2015,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Visibility; Visibility graph; Graph; Operator (biology); Network analysis; Computer science; Mathematics; Data mining; Algorithm; Combinatorics; Geography; Engineering; Geometry; Meteorology; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01106171,0.0004156367,0.001036951,0.001790884,0.0001724829,0.0006584948,0.001163787,0.0003577119,0.0001413958],"category_scores_gemma":[0.008327275,0.0003624483,0.000413149,0.006479758,0.00005278265,0.0003656959,0.0002945838,0.0006112739,0.00005726183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002610686,"about_ca_system_score_gemma":0.0002363167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006166903,"about_ca_topic_score_gemma":0.00001075128,"domain_scores_codex":[0.9938009,0.001351068,0.001379332,0.0011503,0.001692466,0.0006259491],"domain_scores_gemma":[0.9912533,0.006006086,0.0003794243,0.001357547,0.0005508246,0.0004528281],"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":[0.0001469124,0.00003272915,0.003564826,0.000001316501,0.0001320723,0.00002155752,0.0001692055,0.9437607,0.0000802542,0.0002190211,0.002311287,0.04956013],"study_design_scores_gemma":[0.001980556,0.00009918772,0.001567902,0.00005716056,0.0001020314,0.000003413819,0.00004531721,0.9885727,0.0002032927,0.0007402004,0.006260748,0.0003675202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.187711,0.00005018595,0.8072168,0.0002371636,0.004161635,0.0003194107,0.00000896218,0.0002123496,0.00008252479],"genre_scores_gemma":[0.8602932,7.079858e-7,0.1383101,0.0003030973,0.001000248,0.00001586061,0.00002396755,0.00003294901,0.00001982403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6725823,"threshold_uncertainty_score":0.9998828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3305143406049031,"score_gpt":0.3980206330240795,"score_spread":0.06750629241917633,"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."}}