{"id":"W1992899512","doi":"10.1142/s0219622006001939","title":"ELICITING RATIO PREFERENCES FOR THE ANALYTIC HIERARCHY PROCESS WITH VISUAL INTERFACES: A NEW MODE OF PREFERENCE MEASUREMENT","year":2006,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise comparison; Analytic hierarchy process; Preference; Computer science; Class (philosophy); Hierarchy; Mode (computer interface); Process (computing); Visualization; Artificial intelligence; Human–computer interaction; Machine learning; Statistics; Operations research; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00386314,0.0002603272,0.0005417643,0.002856523,0.0001972314,0.0007083411,0.002897562,0.0001720421,0.0001184133],"category_scores_gemma":[0.01007388,0.0001492018,0.000196451,0.001294273,0.0002049256,0.002519637,0.0002664716,0.0003920035,0.00001544794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019445,"about_ca_system_score_gemma":0.0005841302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001456779,"about_ca_topic_score_gemma":0.00007810536,"domain_scores_codex":[0.9911329,0.00007828917,0.003352612,0.0002700873,0.004888203,0.0002779547],"domain_scores_gemma":[0.9831097,0.002588077,0.004353485,0.0004158386,0.009475078,0.00005786433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001410388,0.0000789397,0.003421933,0.00001194838,0.0001583316,0.000005060177,0.0009858164,0.07747433,0.001240975,0.003375133,0.001234475,0.9106027],"study_design_scores_gemma":[0.004890913,0.001009379,0.005641967,0.002889956,0.0001469933,0.0006056251,0.009717447,0.3398599,0.03037698,0.5983016,0.005995836,0.0005633952],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3168419,0.0001455716,0.6812764,0.0007629296,0.0004408556,0.0003091902,0.00001272635,0.00002576933,0.000184633],"genre_scores_gemma":[0.9446326,0.00001354959,0.05502805,0.0001281463,0.0001475393,0.0000193509,0.000002321979,0.00001152211,0.0000169565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9100393,"threshold_uncertainty_score":0.9982647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09765658181990433,"score_gpt":0.418218998527923,"score_spread":0.3205624167080187,"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."}}