{"id":"W4417517135","doi":"10.1142/s0129183127500379","title":"Modeling and analysis of interest-tag-driven information cocoons formation mechanisms","year":2025,"lang":"en","type":"article","venue":"International Journal of Modern Physics C","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China","keywords":"Perspective (graphical); Mechanism (biology); Phenomenon; Point of interest; Information aggregation; Dynamics (music); Information cascade","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":[0.001023213,0.0005119672,0.0005075461,0.001093237,0.0005699044,0.001113981,0.0008913726,0.001112822,0.00161934],"category_scores_gemma":[0.006943197,0.0003432812,0.0007055216,0.0007538835,0.0009504121,0.001953684,0.0008563293,0.0007002819,0.0002167411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023615,"about_ca_system_score_gemma":0.0006592671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00653121,"about_ca_topic_score_gemma":0.002820395,"domain_scores_codex":[0.999576,0.0001597211,0.00001884649,0.00008801461,0.00008149435,0.00007588825],"domain_scores_gemma":[0.9963816,0.002281036,0.0005873812,0.0002301839,0.0003270107,0.0001927081],"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":[0.00007732509,0.00006351781,0.005509804,0.00008668007,0.00005900855,0.0004252493,0.0003577734,0.8790298,0.006012849,0.09602239,0.0008567009,0.01149897],"study_design_scores_gemma":[0.000003025292,0.000007120617,0.0001780214,0.000002486215,0.000004568813,0.00001875532,0.00001674637,0.9950817,0.0002012467,0.004305945,0.0001770252,0.000003375469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2536275,0.0004706297,0.7366187,0.0005441068,0.00006604618,0.0001412367,0.000183145,0.0002214129,0.008127164],"genre_scores_gemma":[0.9736492,0.0003569788,0.02274946,0.0000489815,0.00002561377,0.00009970559,0.00007485736,0.00002531715,0.0029698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00653121,"threshold_uncertainty_score":0.01298636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343841588897926,"score_gpt":0.2941654355782898,"score_spread":0.2707270196893106,"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."}}