{"id":"W2689456674","doi":"10.20965/jaciii.2010.p0383","title":"Selected Papers from IWI 2009","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Personalization; Web intelligence; Web modeling; Web development; User interface; Field (mathematics); Web service; Presentation (obstetrics); Web design","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":[0.003148271,0.001494633,0.001743121,0.008900012,0.00190768,0.01010305,0.001856665,0.002137059,0.2821753],"category_scores_gemma":[0.00895854,0.000529082,0.001413121,0.008841311,0.0003717597,0.003980937,0.003088043,0.001956757,0.2417072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003376486,"about_ca_system_score_gemma":0.003949879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468697,"about_ca_topic_score_gemma":0.002962839,"domain_scores_codex":[0.9965364,0.0003144528,0.0004337546,0.0004208345,0.002027233,0.0002673472],"domain_scores_gemma":[0.9898648,0.0008379831,0.0006459014,0.0005157335,0.006096146,0.002039428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006418238,0.00003771177,0.000108405,0.0008801006,0.00001334476,0.00009926258,0.00004353035,0.00005743951,0.0004670781,0.001128188,0.921557,0.07554379],"study_design_scores_gemma":[0.000007345703,0.00001723553,0.0004247592,0.0003946467,0.000009528319,0.00007020448,0.00004243438,0.00003236008,0.0001531551,0.0003875644,0.9984534,0.000007213785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002958281,0.1370448,0.006368467,0.03929267,0.303683,0.001560007,0.01684339,0.001989199,0.4902602],"genre_scores_gemma":[0.006671003,0.07790085,0.005244421,0.009674849,0.06046846,0.0007474846,0.02151623,0.001578755,0.816198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2821753,"threshold_uncertainty_score":0.9439703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390635575115656,"score_gpt":0.2635077820380454,"score_spread":0.2496014262868888,"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."}}