{"id":"W4412775573","doi":"10.1007/s13278-025-01511-1","title":"Engagement as a predictor: regression insights from facebook activity during the Sudanese revolution","year":2025,"lang":"en","type":"article","venue":"Social Network Analysis and Mining","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Regression; Psychology; Social media; Regression analysis; Computer science; World Wide Web; Machine learning; Psychoanalysis","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":[0.00154606,0.0004096629,0.0003078722,0.001561366,0.0009084451,0.0019279,0.0003629987,0.0004699559,0.004658629],"category_scores_gemma":[0.008767167,0.0001849215,0.0003781001,0.00156249,0.0003964098,0.001042509,0.001293725,0.001158062,0.001386814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005108451,"about_ca_system_score_gemma":0.0005670864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01519855,"about_ca_topic_score_gemma":0.01608012,"domain_scores_codex":[0.9990816,0.0004569979,0.0000397489,0.000126588,0.0001199195,0.0001750423],"domain_scores_gemma":[0.9935651,0.004243364,0.001019513,0.0002742939,0.000467537,0.0004300947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001163125,0.0002988729,0.9764966,0.00003935477,0.00007791191,0.0001838939,0.003342289,0.001145942,0.000345775,0.0008801511,0.001959172,0.01511368],"study_design_scores_gemma":[0.000007644832,0.0001110605,0.9612332,0.0000834734,0.00004616121,0.0001007334,0.01460731,0.01709346,0.0004553711,0.0008598505,0.005379037,0.00002273746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951028,0.00009774631,0.0005958141,0.0003739891,0.00001921867,0.00002065446,0.0007442355,0.00001885095,0.003026751],"genre_scores_gemma":[0.9975949,0.00007829434,0.0003391741,0.0000256879,0.00002408058,0.00004339584,0.0009136263,0.000009374927,0.0009714295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01519855,"threshold_uncertainty_score":0.03022021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904408406016488,"score_gpt":0.3102111690504551,"score_spread":0.2911670849902903,"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."}}