{"id":"W1986684738","doi":"10.5539/cis.v1n3p112","title":"New Path Filling Method on Data Preprocessing in Web Mining","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Font; Computer science; Preprocessor; Face (sociological concept); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008589838,0.00007972096,0.00008815291,0.0002649887,0.0003488367,0.0004890437,0.001499302,0.0000202209,0.000001763626],"category_scores_gemma":[0.00005418421,0.00007062568,0.000007427941,0.001090228,0.00006928192,0.01265434,0.0008494079,0.00008090674,0.00001919706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001853909,"about_ca_system_score_gemma":0.0002992367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001368831,"about_ca_topic_score_gemma":6.519057e-7,"domain_scores_codex":[0.998894,0.00001245994,0.0002560598,0.0003330035,0.0003134903,0.0001909744],"domain_scores_gemma":[0.9989598,0.00008060526,0.00009377275,0.0006972983,0.00006317979,0.0001053015],"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":[7.030719e-7,0.000008110527,0.0002341168,0.000005247826,5.998031e-7,9.018799e-7,0.003547607,0.0007646107,0.00002850939,0.00510079,0.001538046,0.9887708],"study_design_scores_gemma":[0.0001548317,0.00002245249,0.005230539,0.00003945264,4.394282e-7,0.00003832056,0.00003469851,0.9826875,0.0001036735,0.00008316925,0.01151,0.00009490662],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007653084,0.00001825858,0.9900734,0.0002665182,0.0001228362,0.00006777842,0.000005802107,0.00006687278,0.001725431],"genre_scores_gemma":[0.05288191,0.00003389839,0.9462879,0.0007190206,0.00004631813,0.000002878806,0.00001310033,0.000001514036,0.00001351442],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9886758,"threshold_uncertainty_score":0.9174092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06100829919138898,"score_gpt":0.3215028473779907,"score_spread":0.2604945481866017,"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."}}