{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007644453,0.001091133,0.001024168,0.001577563,0.001919795,0.005116178,0.001186882,0.0009935384,0.1372739],"category_scores_gemma":[0.001159144,0.0004138756,0.0003651154,0.003532825,0.0006407205,0.002214463,0.0009273721,0.001607829,0.08115964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003418318,"about_ca_system_score_gemma":0.007637612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.194287,"about_ca_topic_score_gemma":0.3824263,"domain_scores_codex":[0.9995875,0.00002783446,0.00001511323,0.00005580466,0.0002443825,0.00006932905],"domain_scores_gemma":[0.9989004,0.00007359165,0.00002440223,0.00007654803,0.0006608945,0.0002641102],"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":[0.00003357275,0.0000296794,0.0002550406,0.00008368454,0.000008743746,0.00004400585,0.00006360935,0.0001719491,0.0007756923,0.001685673,0.9030992,0.09374909],"study_design_scores_gemma":[0.000009348612,0.00001542636,0.001560668,0.0001067175,0.00001864757,0.0001241578,0.0001748515,0.001101739,0.001291407,0.001210795,0.9943659,0.0000202912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01225246,0.06653799,0.06625392,0.01395045,0.01960373,0.00049003,0.0122674,0.01525392,0.7933901],"genre_scores_gemma":[0.00724072,0.01803439,0.00830493,0.0005851582,0.0005015651,0.00006652732,0.00636061,0.001031226,0.9578748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.805713,"threshold_uncertainty_score":0.4592269,"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."}}