{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003749246,0.0001938382,0.0003103694,0.0003107711,0.0001322207,0.0002652727,0.0008802567,0.00008222029,0.00007050596],"category_scores_gemma":[0.0003154247,0.0001598047,0.0001146767,0.0006279829,0.00009340893,0.001547,0.0001434533,0.000549195,0.00004504683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002464454,"about_ca_system_score_gemma":0.0001756651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007804444,"about_ca_topic_score_gemma":0.000005525398,"domain_scores_codex":[0.9979114,0.00002105867,0.001168263,0.0001350503,0.0005357252,0.0002285237],"domain_scores_gemma":[0.9974884,0.0004670946,0.0007516413,0.0002594012,0.0008225564,0.0002108496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003765763,0.0001509208,0.000563397,0.00002406632,0.0002247668,0.00001780496,0.004627678,0.2618071,0.001482364,0.03133221,0.0008538135,0.6988782],"study_design_scores_gemma":[0.0003094107,0.0006111289,0.001708457,0.0001720431,0.00007777711,0.0003872708,0.002921879,0.8823289,0.01937818,0.06286674,0.02860701,0.0006312005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029193,0.0001943608,0.8953992,0.0003013492,0.0005210075,0.00005579611,0.00001486592,0.00003379082,0.0005603982],"genre_scores_gemma":[0.6062939,0.0003749441,0.3926782,0.0004730952,0.0001080068,0.000001197011,0.0000215275,0.000006758909,0.0000423626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.698247,"threshold_uncertainty_score":0.6516647,"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."}}