{"id":"W4394692555","doi":"10.1080/19331681.2024.2340624","title":"Personality, networks, and heterogeneous discussion on Facebook","year":2024,"lang":"en","type":"article","venue":"Journal of Information Technology & Politics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Personality; Psychology; Social media; Social psychology; Computer science; Internet privacy; Media studies; World Wide Web; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002110416,0.0002480529,0.000213973,0.001642193,0.001221148,0.002327807,0.000239057,0.0004655147,0.003652794],"category_scores_gemma":[0.01197166,0.0001332901,0.0002031455,0.001214601,0.0005748012,0.001700986,0.001285533,0.0005651998,0.0004260403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005487559,"about_ca_system_score_gemma":0.0002540646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005411913,"about_ca_topic_score_gemma":0.009652883,"domain_scores_codex":[0.9984987,0.0008878979,0.00008677322,0.000122078,0.0002153965,0.0001891899],"domain_scores_gemma":[0.9803948,0.01038003,0.005261684,0.0006919605,0.001005955,0.002265558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054867,0.0001244246,0.9838431,0.00002345638,0.00003685719,0.00009027045,0.006815053,0.0002171425,0.0002429871,0.0003512454,0.000244401,0.00790566],"study_design_scores_gemma":[0.000006768048,0.00008112852,0.9810863,0.00003138699,0.00001649364,0.00009778187,0.01484635,0.001136919,0.0001890249,0.0005191275,0.001972814,0.00001596111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961072,0.0000532867,0.0001291618,0.00007602361,0.000004979418,0.000009828822,0.0001193797,0.00000323058,0.00349692],"genre_scores_gemma":[0.9993019,0.00003085532,0.00008147379,0.00001471602,0.000007212222,0.000008292584,0.0001023698,0.000001561154,0.0004515993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005411913,"threshold_uncertainty_score":0.01221979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420356004736007,"score_gpt":0.3105051990375735,"score_spread":0.2963016389902134,"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."}}