{"id":"W4406114206","doi":"10.1109/tnnls.2024.3512868","title":"UniPoll: A Unified Social Media Poll Generation Framework via Multiobjective Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks and Learning Systems","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Innovation and Technology Fund; National Natural Science Foundation of China","keywords":"Multi-objective optimization; Mathematical optimization; Computer science; Mathematical economics; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006675108,0.0001482987,0.000227855,0.0002019211,0.00314374,0.0002352843,0.00009560071,0.0002764754,0.00005928236],"category_scores_gemma":[0.00006886595,0.0001532388,0.0001012286,0.0008112742,0.0001794419,0.0001539178,0.000001051544,0.0006333236,0.000002576313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359882,"about_ca_system_score_gemma":0.00007011975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00364541,"about_ca_topic_score_gemma":0.003822567,"domain_scores_codex":[0.9977019,0.001202098,0.000292203,0.0003189278,0.000233953,0.0002508971],"domain_scores_gemma":[0.9988385,0.0007004005,0.0001154012,0.0001060177,0.0001598709,0.00007976604],"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":[0.0000255947,0.00004367654,0.00005547185,0.000009026984,0.000052452,5.786326e-7,0.005531082,0.966427,0.00001313408,0.0007941548,0.00003477503,0.02701307],"study_design_scores_gemma":[0.0002105319,0.00002952055,0.0001331272,0.00004389913,0.00008657583,3.119871e-7,0.004618865,0.9942989,0.000009243374,0.00003043288,0.0003965276,0.0001420228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01114332,0.0001785873,0.9861109,0.0005924287,0.001202845,0.0002899686,0.000003085837,0.0001499014,0.000328962],"genre_scores_gemma":[0.9980255,0.0001050774,0.0001052638,0.000120888,0.0006067223,0.0000578809,0.00001522442,0.00001244327,0.0009509901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868822,"threshold_uncertainty_score":0.998154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945756817003608,"score_gpt":0.2787708344031135,"score_spread":0.2593132662330774,"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."}}