{"id":"W1531478191","doi":"10.1109/hicss.2015.193","title":"Computational Analysis of Collective Intelligence in Conversational Text","year":2015,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Collective intelligence; Computer science; Intelligence analysis; Set (abstract data type); Web intelligence; Data science; Computational intelligence; Quality (philosophy); World Wide Web; The Internet; Artificial intelligence; Epistemology; Web modeling","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001649859,0.00005744604,0.0001979746,0.0003771091,0.00001260655,0.000008415922,0.00008718468,0.00001169619,0.001317138],"category_scores_gemma":[0.000005921349,0.00005618536,0.00009451524,0.001759272,0.00004215384,0.00004983353,0.00003284645,0.00004314294,0.000007533677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005772368,"about_ca_system_score_gemma":0.0001269736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006501504,"about_ca_topic_score_gemma":0.00009427008,"domain_scores_codex":[0.9993812,0.00003681272,0.0002263256,0.0001219803,0.0001607748,0.00007285992],"domain_scores_gemma":[0.9994748,0.0001313255,0.00007759008,0.00008254834,0.0001982519,0.00003543265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001275527,0.0001171018,0.5177854,5.522458e-7,0.0006626066,1.837935e-7,0.0005649972,0.3172987,0.000004194876,0.1595871,0.001100871,0.00286558],"study_design_scores_gemma":[0.0001095885,0.00001829396,0.05336157,0.000002544546,0.0001480628,3.451559e-8,0.0006459435,0.8381733,0.0002172876,0.1071548,0.00008849517,0.00008005431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1092264,0.000009218496,0.8367605,0.00006321655,0.00001158278,0.0000912863,0.00001572766,0.00001772794,0.05380425],"genre_scores_gemma":[0.9893902,1.135773e-7,0.01020138,0.00001743946,0.00001516816,0.000008115553,0.00008596759,0.000002437422,0.00027916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8801638,"threshold_uncertainty_score":0.9995958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722949773776426,"score_gpt":0.301201839451299,"score_spread":0.2739723417135347,"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."}}