{"id":"W7095326009","doi":"","title":"Yijun Gao University of Western Ontario, London, ON. Analyzing News Website from Publicly Accessible Data","year":2012,"lang":"en","type":"article","venue":"","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web site; Ligne; Data source; The Internet; Web page; Column (typography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005031554,0.0001232761,0.0002097417,0.0002538352,0.0001092828,0.0002034591,0.00304321,0.00007962456,0.0005735555],"category_scores_gemma":[0.0000656421,0.000113897,0.00005510502,0.0009829537,0.00004112645,0.007213123,0.00189817,0.0001805396,0.0002661096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050739,"about_ca_system_score_gemma":0.0001907149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1221405,"about_ca_topic_score_gemma":0.12027,"domain_scores_codex":[0.9986684,0.00004192848,0.0002322267,0.0004043037,0.0003185941,0.0003345365],"domain_scores_gemma":[0.9973198,0.0001349662,0.0001554958,0.002137512,0.00008757969,0.000164642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000117081,0.0001445013,0.9691216,0.000006611371,0.00003066277,0.000001663843,0.0006198288,0.0000169302,0.00002571572,0.002456236,0.01073411,0.01683044],"study_design_scores_gemma":[0.0006607377,0.00008885665,0.7482814,0.00002333123,0.00002554666,0.000001356693,0.0001711475,0.008987154,0.0006668259,0.0002538298,0.2405216,0.0003182236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4523721,0.0001235971,0.5074758,0.0006741525,0.0004074335,0.0001355787,0.00004214751,0.0001389979,0.03863019],"genre_scores_gemma":[0.9510001,0.00002981893,0.04334006,0.0007124244,0.00007624737,1.29839e-7,0.00007296015,0.000005738272,0.004762532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.498628,"threshold_uncertainty_score":0.8957828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0784556777040554,"score_gpt":0.2646244982435974,"score_spread":0.186168820539542,"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."}}