{"id":"W2344403296","doi":"10.4018/978-1-59904-974-8.ch010","title":"Recommendations for Reporting Web Usage Studies","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; World Wide Web; Context (archaeology); Task (project management); Data science; Population; Web application; Work (physics); Web intelligence; Replicate; Web modeling; Information retrieval; Web page; Engineering; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007433519,0.0004148489,0.0007189111,0.00009969108,0.0002575591,0.0002298762,0.0007767948,0.0002785986,0.000003525918],"category_scores_gemma":[0.0001053547,0.0003847937,0.0003620068,0.00002578563,0.00003772075,0.0001391262,0.0003255624,0.0002080703,0.00001669267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011924,"about_ca_system_score_gemma":0.0001832322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001751346,"about_ca_topic_score_gemma":0.00006364859,"domain_scores_codex":[0.9971942,0.00002349198,0.001444008,0.0007178172,0.0002593053,0.0003611996],"domain_scores_gemma":[0.996675,0.00009545073,0.00190306,0.0009364265,0.0002859242,0.0001041489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001337894,0.000004621004,0.000001993748,0.0000321199,0.00008963529,0.00002014286,0.00006044763,1.162423e-7,0.000003609607,0.8057154,0.07894929,0.1151212],"study_design_scores_gemma":[0.00009732114,0.00009584256,0.000001538028,0.0003015233,0.00002185257,0.0000652432,0.000008067652,0.00007741411,0.00003580644,0.5152074,0.4838074,0.0002806312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001668829,0.0008877544,0.05041129,0.001785168,0.001101134,0.0007948498,0.00005566241,0.0007294854,0.944233],"genre_scores_gemma":[0.01542051,0.0001779855,0.4514014,0.004176731,0.001124942,0.0004083487,0.00002031184,0.0001089144,0.5271609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4170721,"threshold_uncertainty_score":0.9998604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117593365507895,"score_gpt":0.3477101721832248,"score_spread":0.2359508356324352,"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."}}