{"id":"W4386010748","doi":"10.5267/j.ijdns.2023.8.015","title":"Evaluating the influence of security considerations on information dissemination via social networks","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Internet privacy; Confirmatory factor analysis; Structural equation modeling; Information sharing; The Internet; Social influence; Information privacy; Computer science; Business; World Wide Web; Psychology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335272,0.00006150264,0.00008330659,0.0001583368,0.0003827512,0.0002679489,0.001523873,0.00002207408,0.000003894165],"category_scores_gemma":[0.0004190502,0.00004321979,0.00001707078,0.0008948022,0.0002171864,0.004333824,0.000593065,0.0001319526,0.000004781721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002590826,"about_ca_system_score_gemma":0.0001803692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003847699,"about_ca_topic_score_gemma":0.000001736286,"domain_scores_codex":[0.9984069,0.00004103468,0.0003913406,0.0001185751,0.0009097783,0.0001324083],"domain_scores_gemma":[0.9980112,0.0003832559,0.0004191521,0.0001951603,0.0009528716,0.0000384175],"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":[0.00008462043,0.00008844359,0.01112304,0.0000178408,0.0000889693,0.000009714048,0.007441805,0.6844144,0.002018457,0.08719593,0.01518007,0.1923367],"study_design_scores_gemma":[0.0001452746,0.00009806165,0.08757118,0.00006211838,0.000005892628,0.00005647649,0.00004240562,0.9011332,0.0001488193,0.01042224,0.0002483516,0.00006593578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212751,0.00003080443,0.07247352,0.005217057,0.0008029867,0.00007854614,0.00001930685,0.00002055832,0.00008216909],"genre_scores_gemma":[0.9972942,0.00008841758,0.001956491,0.0003526086,0.0002882238,8.904405e-7,0.00001441385,0.000001661957,0.000003076932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2167188,"threshold_uncertainty_score":0.3141918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383974424607746,"score_gpt":0.3640336201639336,"score_spread":0.3256361777031591,"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."}}