{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001381052,0.0001126536,0.0001732403,0.00006945008,0.0003244425,0.0007847594,0.001237435,0.00004295479,8.165994e-7],"category_scores_gemma":[0.00002473864,0.00006882849,0.0001255594,0.0001254987,0.00002998478,0.0006227935,0.0003356669,0.0001709767,0.000007330457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005856292,"about_ca_system_score_gemma":0.0001255942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001341814,"about_ca_topic_score_gemma":0.000003101361,"domain_scores_codex":[0.9989998,0.0001533754,0.000258404,0.0001468181,0.0001899146,0.000251707],"domain_scores_gemma":[0.9990436,0.0003253813,0.0001509597,0.0002175225,0.0001580615,0.0001044129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009629058,0.00005876294,0.00007712573,0.000008524144,0.00005155223,0.00001054333,0.02541201,0.00001186753,0.00002316707,0.06837844,0.5683162,0.3376421],"study_design_scores_gemma":[0.003760454,0.0007283431,0.002452415,0.0001982122,0.00005015341,0.003018229,0.001301145,0.1949562,0.0009609251,0.2706701,0.5208247,0.001079111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004263919,0.0002901139,0.9873943,0.00320852,0.003583963,0.0001007183,9.084974e-7,0.00009625352,0.001061309],"genre_scores_gemma":[0.7578585,0.00001028495,0.2326032,0.0006380746,0.008580893,0.00002131796,0.00000131922,0.0000214459,0.0002649616],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7547911,"threshold_uncertainty_score":0.7567452,"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."}}