{"id":"W2473029962","doi":"10.1145/2930238.2930289","title":"Modelling User Collaboration in Social Networks Using Edits and Comments","year":2016,"lang":"en","type":"article","venue":"","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Order (exchange); World Wide Web; Function (biology); Quality (philosophy); Work (physics); Social network (sociolinguistics); Questions and answers; Data science; Social media; Engineering","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":[0.0001904516,0.00005558185,0.0000791757,0.00004927365,0.000112362,0.0001018612,0.0001154319,0.00005454033,0.000001423859],"category_scores_gemma":[0.000003366644,0.00003872285,0.000008308352,0.0001863525,0.00001135953,0.0003929889,0.00006432305,0.00002994164,0.000002203434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004632312,"about_ca_system_score_gemma":0.00001756541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007716407,"about_ca_topic_score_gemma":0.00002510318,"domain_scores_codex":[0.9994352,0.00004583591,0.0001248967,0.0001567225,0.00009625983,0.000141014],"domain_scores_gemma":[0.9997807,0.0000390978,0.00003679219,0.00008490052,0.00003158681,0.00002688354],"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":[0.00006070005,0.000346982,0.1356758,0.00005953141,0.0000856002,0.00004142494,0.02667967,0.2956625,0.01219814,0.3880386,0.0848925,0.05625856],"study_design_scores_gemma":[0.0002870904,0.000008035451,0.00008421405,0.00003488056,5.551051e-7,0.000001340806,0.00004038043,0.9976493,0.0001115417,0.0002893643,0.001418791,0.00007452138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09898192,0.00003546049,0.8991731,0.0009972338,0.0003943797,0.00005982897,3.003416e-7,0.0000355152,0.0003222728],"genre_scores_gemma":[0.9888539,0.000007964017,0.01048046,0.0001673727,0.0002695092,0.000002823768,2.499946e-7,0.000003784685,0.0002139205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.889872,"threshold_uncertainty_score":0.1579072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926960441858399,"score_gpt":0.2906599232875491,"score_spread":0.2513903188689651,"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."}}