{"id":"W2055872030","doi":"10.5539/cis.v6n1p39","title":"Analysis and Evaluation of WebTrends Log Analyzer","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Debiasing; Spectrum analyzer; Product (mathematics); Software; Software engineering; Data mining; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005497825,0.0005662045,0.0004540549,0.003823806,0.000306192,0.001246926,0.0006799245,0.0003645235,0.003527196],"category_scores_gemma":[0.01747367,0.0002974496,0.0002757706,0.002197071,0.0002969392,0.001530912,0.00049304,0.0003916496,0.001102958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008215025,"about_ca_system_score_gemma":0.001201729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270005,"about_ca_topic_score_gemma":0.002070655,"domain_scores_codex":[0.9950029,0.001757469,0.0004770891,0.0004524159,0.002107254,0.0002028857],"domain_scores_gemma":[0.9719406,0.0111527,0.00106277,0.002334161,0.01310589,0.0004038808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00380939,0.001543915,0.105906,0.0008722837,0.0001596219,0.0009175173,0.002301736,0.01519966,0.09706472,0.006271453,0.01871228,0.7472415],"study_design_scores_gemma":[0.0004140252,0.003593143,0.2344233,0.0003107697,0.0003240056,0.001128295,0.002217672,0.4088454,0.2978106,0.002849519,0.04783224,0.0002511235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8478054,0.0002897527,0.1129191,0.0001932363,0.00009142776,0.001205561,0.004737961,0.02106181,0.01169576],"genre_scores_gemma":[0.8386077,0.0002450715,0.1423985,0.0001029992,0.00003309053,0.0008262769,0.006904266,0.001727509,0.009154604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005497825,"threshold_uncertainty_score":0.02907562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157788133491982,"score_gpt":0.2848530127790356,"score_spread":0.2532751314441158,"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."}}