{"id":"W584675952","doi":"","title":"IEEE/WIC International Conference on Web Intelligence (WI 2003) : Halifax, Canada, October 13-17, 2003 : proceedings","year":2003,"lang":"en","type":"book","venue":"IEEE Computer Society eBooks","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; World Wide Web; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002590901,0.0009268472,0.0006808085,0.0001392221,0.0004239068,0.0005205889,0.003338169,0.0005107096,0.0000553279],"category_scores_gemma":[0.00001202454,0.0009927407,0.00031157,0.0004443768,0.0002493984,0.000276328,0.0003985544,0.001286882,0.0000755001],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344526,"about_ca_system_score_gemma":0.006006961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008272277,"about_ca_topic_score_gemma":0.001536191,"domain_scores_codex":[0.9952182,0.00003579896,0.0009185003,0.001701123,0.001354272,0.0007721052],"domain_scores_gemma":[0.9952434,0.00008605419,0.0007102059,0.0009067879,0.002692931,0.0003606741],"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":[0.00000279632,0.000044705,0.000001454293,0.00003304349,0.0001099238,0.00001315145,0.0002080773,0.000538783,0.00002371884,0.2219212,0.7668773,0.01022585],"study_design_scores_gemma":[0.0002161309,0.000113834,0.000004456954,0.0003598504,0.00002720568,0.00006662885,0.00001175339,0.2238748,0.0007010274,0.0366642,0.7368218,0.001138304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00001160772,0.00004814292,0.7334033,0.0007320566,0.002923744,0.0008737879,0.0001545652,0.0004653539,0.2613875],"genre_scores_gemma":[0.0006887164,0.0001534201,0.3391298,0.01311101,0.001467233,0.0003841921,0.0001410675,0.0001338575,0.6447907],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3942735,"threshold_uncertainty_score":0.9996281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012611769448439,"score_gpt":0.2666972977973721,"score_spread":0.2365711801028877,"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."}}