{"id":"W2295232165","doi":"10.1093/comjnl/bxv018","title":"Mining Social Media for Knowledge Discovery","year":2015,"lang":"en","type":"article","venue":"The Computer Journal","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Library science; Social media; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006270125,0.002061305,0.002465859,0.02723657,0.002631969,0.006426264,0.002890969,0.00286122,0.003698735],"category_scores_gemma":[0.04121267,0.001024457,0.003194575,0.01899155,0.001572753,0.008589351,0.004212823,0.002679235,0.003909474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503455,"about_ca_system_score_gemma":0.002723629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004170721,"about_ca_topic_score_gemma":0.007989866,"domain_scores_codex":[0.9871427,0.005005592,0.001318488,0.00252002,0.003544698,0.0004686412],"domain_scores_gemma":[0.9707457,0.01960892,0.002107139,0.004520371,0.002518495,0.0004993074],"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":[0.000358677,0.001090516,0.02973256,0.00438688,0.002623847,0.001202366,0.001938237,0.01895744,0.005842736,0.0486473,0.06369697,0.8215225],"study_design_scores_gemma":[0.000134115,0.0003539873,0.01484649,0.002013281,0.001153092,0.00146682,0.00335801,0.4441659,0.01202652,0.3633102,0.1568986,0.0002729986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07034438,0.03150894,0.829841,0.01332687,0.001923961,0.002801265,0.0282322,0.004767726,0.01725359],"genre_scores_gemma":[0.2938226,0.01287109,0.6471447,0.001207507,0.001687783,0.001896299,0.03623554,0.0002959177,0.00483864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02723657,"threshold_uncertainty_score":0.03315997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109428658639377,"score_gpt":0.3085844912282509,"score_spread":0.1976416253643132,"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."}}