{"id":"W4323907073","doi":"10.3934/nhm.2023035","title":"Managing consensus based on community classification in opinion dynamics","year":2023,"lang":"en","type":"article","venue":"Networks and Heterogeneous Media","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Public opinion; Opinion leadership; Control (management); Computer science; Enhanced Data Rates for GSM Evolution; Process (computing); Division (mathematics); Second opinion; Social network (sociolinguistics); Operations research; Artificial intelligence; Public relations; Political science; Mathematics; Law; Social media; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002838107,0.0005837643,0.0008700871,0.001213674,0.001325668,0.001620817,0.00173092,0.001212875,0.002126531],"category_scores_gemma":[0.009517442,0.0002908674,0.0007222893,0.00083638,0.001381688,0.003300078,0.001901678,0.001205586,0.0003403505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903643,"about_ca_system_score_gemma":0.0010555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004565823,"about_ca_topic_score_gemma":0.003240887,"domain_scores_codex":[0.9985317,0.0004878724,0.00005980568,0.0003417543,0.0003913247,0.0001876809],"domain_scores_gemma":[0.9948506,0.002913424,0.0006857218,0.0003042707,0.0009336316,0.000312426],"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":[0.0002253325,0.0002042715,0.003710984,0.0001881378,0.0001101958,0.0002059113,0.0006777962,0.655159,0.009704636,0.1399158,0.003673858,0.186224],"study_design_scores_gemma":[0.000007514977,0.00002014162,0.0001314616,0.000005203964,0.00000849239,0.00001006635,0.00003111404,0.9882725,0.0005130359,0.01053981,0.0004539857,0.000006725777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04568117,0.0002221743,0.9485289,0.0004393616,0.00008046589,0.00009929506,0.00002788722,0.0001816905,0.004739011],"genre_scores_gemma":[0.8937804,0.0002187181,0.1023766,0.0001611419,0.0001111382,0.0001428897,0.00006419572,0.00005101035,0.00309395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004565823,"threshold_uncertainty_score":0.01500952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027708015444651,"score_gpt":0.2844935560629632,"score_spread":0.2542164759085166,"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."}}