{"id":"W4403196930","doi":"10.32782/bses.88-16","title":"USING OF WEB ANALYTICS FOR SITE DEVELOPMENT","year":2024,"lang":"en","type":"article","venue":"Black Sea Economic Studies","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Web site; Web analytics; Computer science; World Wide Web; Data science; Web development; The Internet; Web intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00717744,0.001563319,0.001031986,0.01225794,0.0008869434,0.01054078,0.001691135,0.001144877,0.006411171],"category_scores_gemma":[0.02668225,0.0007347101,0.001607911,0.008584945,0.0009006548,0.0104152,0.003404798,0.002039217,0.007718015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009632169,"about_ca_system_score_gemma":0.002149549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001659718,"about_ca_topic_score_gemma":0.001314867,"domain_scores_codex":[0.9887248,0.003863342,0.0008510851,0.001116306,0.004984378,0.0004600327],"domain_scores_gemma":[0.9700375,0.01328664,0.00216301,0.005940295,0.007474934,0.001097672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001307465,0.0002795426,0.01514709,0.001855588,0.0001818928,0.0006007288,0.00188385,0.003780965,0.00430959,0.03851457,0.03695701,0.8963584],"study_design_scores_gemma":[0.0000928658,0.000529433,0.03717471,0.003714451,0.0002968188,0.002877692,0.007889894,0.09696176,0.0271473,0.1851261,0.6377658,0.0004231523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04544761,0.008916436,0.7674049,0.006068478,0.001243654,0.002005851,0.006859162,0.04340614,0.1186479],"genre_scores_gemma":[0.300401,0.007730043,0.6518801,0.00116823,0.000763742,0.001386378,0.01206595,0.004502756,0.02010176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01225794,"threshold_uncertainty_score":0.03795838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274740729318568,"score_gpt":0.3881709568230381,"score_spread":0.2606968838911813,"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."}}