{"id":"W4360603965","doi":"10.1016/j.eswa.2023.119948","title":"Optimizing consistency and consensus in group decision making based on relative projection between multiplicative reciprocal matrices","year":2023,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Consistency (knowledge bases); Projection (relational algebra); Multiplicative function; Mathematical optimization; Analytic hierarchy process; Computer science; Group (periodic table); Group decision-making; Reciprocal; Projection pursuit; Mathematics; Local consistency; Algorithm; Artificial intelligence; Operations research; Constraint satisfaction","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":[0.003284259,0.0003557111,0.0006540021,0.001692929,0.0006275515,0.0004581548,0.0005535943,0.0002170742,0.00001609435],"category_scores_gemma":[0.00196126,0.0002619014,0.00008114646,0.004083089,0.0002359434,0.0003101415,0.0001724493,0.0003336951,0.0002241454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792718,"about_ca_system_score_gemma":0.0001070665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255555,"about_ca_topic_score_gemma":0.00006931163,"domain_scores_codex":[0.9945771,0.0005552606,0.001417154,0.001459797,0.001540031,0.000450705],"domain_scores_gemma":[0.9836677,0.01388741,0.0007236935,0.001099256,0.000456064,0.00016582],"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":[0.002694486,0.0008945612,0.2144025,0.0001843661,0.0002101765,0.0001766515,0.02506356,0.0449501,0.00434764,0.03333033,0.008590652,0.665155],"study_design_scores_gemma":[0.004255692,0.0004769533,0.1000044,0.002309007,0.00003903713,0.00006992685,0.01970752,0.8334037,0.0001266888,0.004664434,0.03369135,0.001251277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.117095,0.0007612797,0.8694215,0.0008409271,0.0003153807,0.006340178,0.0001201381,0.0005616604,0.004543909],"genre_scores_gemma":[0.9282514,0.00001551335,0.06874622,0.00008152373,0.0001381283,0.00259896,0.00001822385,0.00004634825,0.0001037219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8111563,"threshold_uncertainty_score":0.9999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124588102768914,"score_gpt":0.4171919492966053,"score_spread":0.2926038465276913,"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."}}