{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834132,0.00007759516,0.0001362461,0.0003644492,0.0002352923,0.0001166524,0.0001445803,0.0002467559,0.00003974629],"category_scores_gemma":[0.0003434327,0.0000537691,0.00006373962,0.0001622205,0.0003880613,0.0003948428,0.00002819605,0.0003514522,0.00003222868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737873,"about_ca_system_score_gemma":0.0002381454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003094575,"about_ca_topic_score_gemma":0.000009098557,"domain_scores_codex":[0.999034,0.00004910001,0.0003489554,0.00004026106,0.0002711245,0.0002565449],"domain_scores_gemma":[0.9993944,0.0001350799,0.0001441455,0.00006259484,0.0001372299,0.000126561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007831504,0.00001874373,0.002420926,0.00004383985,0.00005788721,0.00002249141,0.02120689,0.00006000191,0.000009397738,0.9237436,0.004099126,0.04830927],"study_design_scores_gemma":[0.0002012598,0.0002349528,0.0001666873,0.0001812871,0.00004591545,0.0001159808,0.02186379,0.0004430759,0.0004384117,0.05495287,0.9212195,0.0001363035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8631787,0.001621819,0.005677161,0.09535281,0.005735641,0.0006159175,0.00004095961,0.0004654419,0.02731152],"genre_scores_gemma":[0.997683,0.0004701263,0.0001822493,0.0008410291,0.0005331742,0.000002875862,0.000001639172,0.000005203668,0.000280741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9171203,"threshold_uncertainty_score":0.219264,"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."}}