{"id":"W2169504063","doi":"10.1111/j.1467-985x.2011.00695.x","title":"Modelling Member Behaviour in on-Line User-Generated Content Sites: A Semiparametric Bayesian Approach","year":2011,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Bivariate analysis; Event (particle physics); User-generated content; Computer science; Econometrics; Set (abstract data type); Bayesian probability; Line (geometry); Linear model; Machine learning; Artificial intelligence; Social media; Mathematics; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005802684,0.0006981894,0.00145046,0.001674792,0.0006000612,0.002098269,0.003513982,0.002604711,0.003922238],"category_scores_gemma":[0.02390215,0.001082541,0.001297304,0.001378323,0.001543504,0.003016096,0.00187166,0.002143822,0.0008774553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671766,"about_ca_system_score_gemma":0.001016958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988591,"about_ca_topic_score_gemma":0.01356787,"domain_scores_codex":[0.9979899,0.0011399,0.00005736824,0.0004016706,0.0002073673,0.0002038108],"domain_scores_gemma":[0.9835346,0.01226145,0.001988913,0.0008258556,0.0008248005,0.0005642773],"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":[0.000128985,0.0001486888,0.01643683,0.00005548908,0.0001433111,0.000182886,0.000491805,0.9092346,0.0007975037,0.05955631,0.001225062,0.01159865],"study_design_scores_gemma":[0.000006891861,0.00001555729,0.001152487,0.000005919646,0.00000920926,0.00002118118,0.00003582254,0.9863023,0.00004823526,0.01217913,0.0002126756,0.00001063505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.280998,0.0001694591,0.7141445,0.001013108,0.00002471078,0.0001240401,0.0006900005,0.0002363213,0.002599914],"genre_scores_gemma":[0.9404998,0.0002195998,0.05187974,0.0001202253,0.00005282259,0.0002529348,0.0006519672,0.00008443264,0.006238543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01988591,"threshold_uncertainty_score":0.03954029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07675050356163719,"score_gpt":0.2859784746130932,"score_spread":0.209227971051456,"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."}}