{"id":"W2054815985","doi":"10.5555/1639809.1639942","title":"Adaptive web navigation","year":2009,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Expansive; Task (project management); Field (mathematics); Preprocessor; Web application; Range (aeronautics); The Internet; Data mining; World Wide Web; Artificial intelligence; Engineering; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009598584,0.0005868202,0.0007880296,0.001125337,0.0007126847,0.001447284,0.001630342,0.001057847,0.005252203],"category_scores_gemma":[0.004755619,0.000402561,0.0006628879,0.001413245,0.0006680816,0.002283874,0.001394331,0.001099538,0.002365445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004617137,"about_ca_system_score_gemma":0.000858577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003948258,"about_ca_topic_score_gemma":0.005391506,"domain_scores_codex":[0.9987254,0.0002985296,0.00005434502,0.000371452,0.0004677863,0.00008259754],"domain_scores_gemma":[0.9976446,0.0008222471,0.0001199531,0.0007677309,0.0005392854,0.0001061124],"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":[0.0002113413,0.0004022729,0.006888734,0.0002995432,0.0002119604,0.0002275018,0.0002421897,0.113327,0.02489421,0.03967095,0.01303645,0.8005879],"study_design_scores_gemma":[0.00004363398,0.0001524251,0.002627224,0.00004560063,0.00008554345,0.000622949,0.0001214845,0.9119385,0.009953681,0.03764021,0.03670493,0.00006374327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01100265,0.0006061194,0.9772329,0.0001527714,0.0001026188,0.0001034012,0.00009111208,0.002702193,0.008006272],"genre_scores_gemma":[0.3721729,0.001694439,0.6054731,0.0002860175,0.0001945813,0.0002100686,0.000598255,0.0005049562,0.01886573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005252203,"threshold_uncertainty_score":0.01757038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03511111319707586,"score_gpt":0.2870446643619927,"score_spread":0.2519335511649168,"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."}}