{"id":"W2964559961","doi":"10.29173/cais760","title":"From Editors' Choice to Readers’ Favorites: Analyzing Server Logs of China's Biggest Online Newspaper","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Newspaper; China; Ligne; History; Art; Humanities; Advertising; Business; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0007829883,0.0006064803,0.001248944,0.0004291195,0.0001830773,0.003984581,0.005414587,0.0003862056,0.0001722031],"category_scores_gemma":[0.01956361,0.0005085877,0.0004727418,0.001939229,0.0007042175,0.01813255,0.002230367,0.0006385134,0.00003189136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008867313,"about_ca_system_score_gemma":0.0004705173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0356037,"about_ca_topic_score_gemma":0.0002831605,"domain_scores_codex":[0.9958508,0.00008490445,0.001271725,0.0009470121,0.0009869641,0.0008585965],"domain_scores_gemma":[0.9562228,0.0004920205,0.001654285,0.0008492252,0.04031792,0.0004637539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001156444,0.001873921,0.4778301,0.001684561,0.001702554,0.000006364594,0.2158402,0.0002018413,0.06976657,0.004882827,0.1370981,0.08899722],"study_design_scores_gemma":[0.001677523,0.001296319,0.7391416,0.005797752,0.001243033,0.00003640345,0.0169949,0.0135901,0.0529379,0.00418262,0.1612243,0.001877516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682441,0.0007365639,0.0005334315,0.0267657,0.001488384,0.0003668559,0.00104904,0.00005529451,0.0007606665],"genre_scores_gemma":[0.9850033,0.0001747353,0.009338111,0.0004313009,0.002276931,0.00001905945,0.00003869943,0.00004281924,0.002675063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613115,"threshold_uncertainty_score":0.9999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925421623158383,"score_gpt":0.258294647107758,"score_spread":0.2290404308761741,"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."}}