{"id":"W2400661058","doi":"","title":"Social computing and intelligence: exploring opportunities for the public and the enterprise","year":2015,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Business intelligence; Collective intelligence; Crowds; Computer science; Social media analytics; Data science; Business analytics; Analytics; Social media; Knowledge management; Competitive intelligence; Intelligence cycle; World Wide Web; Military intelligence; Business model; Business; Computer security; Marketing; Electronic business; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001162705,0.00009664649,0.000126643,0.00006414631,0.0004881393,0.000447539,0.0002259106,0.000009237045,5.461176e-7],"category_scores_gemma":[0.0000417324,0.00006146247,0.0000275103,0.0001713968,0.0003581121,0.0002809154,0.0003885383,0.0000826289,7.680759e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001165893,"about_ca_system_score_gemma":0.00003673377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137385,"about_ca_topic_score_gemma":4.919441e-7,"domain_scores_codex":[0.9993469,0.00001443351,0.0001204411,0.0001745267,0.00014446,0.0001992657],"domain_scores_gemma":[0.9992654,0.0003998344,0.00003594341,0.0001067416,0.000115824,0.00007628168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004176529,0.000006614006,0.004028214,0.00001274762,0.00003554911,5.229894e-7,0.004982702,0.0009553741,0.000002674274,0.0643688,0.0002995503,0.9253031],"study_design_scores_gemma":[0.0001802987,0.00001795189,0.0007986011,0.00002177227,0.00001902346,0.000003797789,0.001124003,0.991511,0.00003086071,0.002293801,0.003866941,0.0001319175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07957435,0.0003155908,0.9192733,0.0005337601,0.0001109101,0.0001225534,7.764161e-7,0.00006078108,0.000007984961],"genre_scores_gemma":[0.985043,0.0000202725,0.01449625,0.00005265797,0.0003505881,0.00002652289,7.379535e-7,0.000006061066,0.00000391036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9905556,"threshold_uncertainty_score":0.4315629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029287736649534,"score_gpt":0.2824200417871031,"score_spread":0.1794912681221497,"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."}}