{"id":"W2048052888","doi":"10.1109/trustcom.2014.81","title":"Big Data Analyses for Collective Opinion Elicitation in Social Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Big data; Computer science; Voting; Data science; Collective intelligence; Sentiment analysis; Computational intelligence; Fuzzy logic; Data mining; Artificial intelligence; Political science; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01041752,0.0009315459,0.001015866,0.004610833,0.001869707,0.003385416,0.001333553,0.001227126,0.002491226],"category_scores_gemma":[0.06287153,0.0004137081,0.001552521,0.004115609,0.001628725,0.004917496,0.002196715,0.001963364,0.0004303646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002048479,"about_ca_system_score_gemma":0.001362975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002821043,"about_ca_topic_score_gemma":0.002847905,"domain_scores_codex":[0.9894255,0.006772986,0.0005579311,0.0008464529,0.002114381,0.0002827705],"domain_scores_gemma":[0.938297,0.05033582,0.003467252,0.004314151,0.003103611,0.0004821956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004678413,0.0003947009,0.02188348,0.001055546,0.0007243238,0.0004596957,0.002694411,0.2713208,0.004995488,0.4845852,0.008406669,0.2030119],"study_design_scores_gemma":[0.00001147001,0.00003472105,0.002105552,0.00005355397,0.00002731359,0.00004183072,0.0006571549,0.7363947,0.001297999,0.2569365,0.002412044,0.00002713113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0441837,0.0004969398,0.9483224,0.001383994,0.00007865099,0.0003305274,0.001438474,0.0002731651,0.003492246],"genre_scores_gemma":[0.6978843,0.0005668058,0.2961109,0.000348543,0.0001924413,0.001244596,0.002371545,0.00005812707,0.001222705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01041752,"threshold_uncertainty_score":0.05509377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2423419710872993,"score_gpt":0.3956724734424057,"score_spread":0.1533305023551064,"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."}}