{"id":"W1674032370","doi":"10.1007/11577935_13","title":"Predicting Web Information Content","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Web page; Information retrieval; Parameterized complexity; Inference; Web navigation; World Wide Web; Static web page; Artificial intelligence; Algorithm","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":[0.0004450676,0.0006713425,0.0006936927,0.004618389,0.0003392769,0.001040263,0.0005101711,0.000725363,0.0032999],"category_scores_gemma":[0.003275941,0.0003385473,0.0005345905,0.003315864,0.0001832184,0.001301614,0.0003865657,0.0006474815,0.003050197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004543276,"about_ca_system_score_gemma":0.0002289188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007573341,"about_ca_topic_score_gemma":0.01307178,"domain_scores_codex":[0.9996997,0.00005993128,0.0000125714,0.00008166689,0.0001114804,0.00003475613],"domain_scores_gemma":[0.9986594,0.0008488375,0.00007537154,0.0001089546,0.0002462447,0.00006123269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004205856,0.0007863706,0.09267518,0.0002148733,0.000257805,0.0001838184,0.00008742468,0.05162804,0.01061681,0.00336239,0.0235575,0.8162093],"study_design_scores_gemma":[0.00001637815,0.0001594174,0.03955489,0.00004373609,0.0001146435,0.0002183425,0.00006723905,0.9406031,0.009591639,0.005284773,0.0043187,0.00002709128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7587854,0.007048157,0.1930596,0.0009172249,0.0002579785,0.0002829092,0.008885399,0.004828135,0.02593527],"genre_scores_gemma":[0.9109881,0.001835086,0.06271717,0.00009505,0.0003271842,0.00009408618,0.007679944,0.0001516326,0.01611177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007573341,"threshold_uncertainty_score":0.01505852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656526388920676,"score_gpt":0.237254984221599,"score_spread":0.2106897203323922,"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."}}