{"id":"W2105708415","doi":"10.5267/j.dsl.2014.11.002","title":"An IF-DEMATEL-AHP based on Triangular Intuitionistic Fuzzy Numbers (TIFNs)","year":2015,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Fuzzy logic; Operations research; Computer science; Mathematics; Management science; Artificial intelligence; 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":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02859666,0.0005841617,0.0008583531,0.003210338,0.001085768,0.004779678,0.006535093,0.0001995652,0.001102931],"category_scores_gemma":[0.03967332,0.000438755,0.0003318627,0.007197107,0.001589399,0.002893513,0.000492527,0.0004996237,0.006624478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005848014,"about_ca_system_score_gemma":0.0006292983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004458663,"about_ca_topic_score_gemma":0.00001347188,"domain_scores_codex":[0.9791013,0.0008383691,0.002099685,0.002756456,0.01394325,0.001260916],"domain_scores_gemma":[0.9862548,0.005555462,0.0007566544,0.004270369,0.001471304,0.001691412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002440563,0.00108039,0.009529835,0.000008673914,0.00001928847,0.001217514,0.003509154,0.1531494,0.07207142,0.006638256,0.2671638,0.4831716],"study_design_scores_gemma":[0.009218018,0.001217492,0.03142554,0.0004104996,0.00005228138,0.0002099393,0.004047025,0.7349079,0.005436685,0.1271146,0.08323178,0.002728265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6325335,0.00001640745,0.3528616,0.004905856,0.004308726,0.0005821969,0.00004017368,0.0002402626,0.004511292],"genre_scores_gemma":[0.932111,0.000001073212,0.05000562,0.01737526,0.0002997028,0.00003324891,0.000008611137,0.00005000534,0.0001155333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5817585,"threshold_uncertainty_score":0.9998102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1793085018576922,"score_gpt":0.4522364387003911,"score_spread":0.2729279368426989,"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."}}