{"id":"W4405999073","doi":"10.1016/j.eswa.2024.126367","title":"A group decision-making method for public opinion response plans: Herd behavior and two-stage consensus-reaching","year":2025,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Xi’an Jiaotong University","keywords":"Group decision-making; Computer science; Stage (stratigraphy); Public opinion; Group (periodic table); Decision-making models; Herd; Operations research; Artificial intelligence; Mathematics; Psychology; Political science; Social psychology; Medicine; Biology; Veterinary medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0005722405,0.0001701145,0.0002478725,0.0001195227,0.0006117234,0.0002338169,0.0001720807,0.00005605427,0.000006045739],"category_scores_gemma":[0.00002406597,0.000151534,0.00005925713,0.0002409693,0.00006057595,0.00008699185,0.0000542356,0.0001163262,0.000002405566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005903252,"about_ca_system_score_gemma":0.0001159019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004848093,"about_ca_topic_score_gemma":0.00002731693,"domain_scores_codex":[0.9987861,0.0001284206,0.0003419468,0.0003890292,0.000120469,0.0002340518],"domain_scores_gemma":[0.9981118,0.001159586,0.0001617297,0.0003603817,0.0001239021,0.00008262748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000215724,0.0001756646,0.01157569,0.00004329473,0.0001011733,5.021802e-7,0.0009641229,0.0001644392,0.001362259,0.9397409,0.0005514086,0.04510482],"study_design_scores_gemma":[0.00486814,0.0002287394,0.007181473,0.001319864,0.00009432213,0.00001726442,0.0205466,0.07132824,0.00007129239,0.01163801,0.881375,0.001331073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02733615,0.0003764241,0.9687396,0.0004352259,0.0001763327,0.001961914,0.0002801819,0.0000650599,0.0006291486],"genre_scores_gemma":[0.9383638,0.000004477177,0.05435824,0.00009931775,0.0001823112,0.006649418,0.00006028076,0.00002464209,0.0002574972],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9281029,"threshold_uncertainty_score":0.6179377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308896728677451,"score_gpt":0.3716778234584752,"score_spread":0.3485888561717007,"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."}}