{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002242534,0.001193585,0.001471194,0.004756195,0.001601962,0.002167917,0.002180777,0.001335817,0.01011887],"category_scores_gemma":[0.007789479,0.0009111619,0.001913378,0.005577849,0.0007620353,0.004022838,0.00225203,0.002027614,0.004022788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007049103,"about_ca_system_score_gemma":0.002496921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369439,"about_ca_topic_score_gemma":0.004107301,"domain_scores_codex":[0.9975236,0.0004955278,0.0003688991,0.0006738888,0.0008107152,0.0001272867],"domain_scores_gemma":[0.9955848,0.002032826,0.0001972777,0.001030051,0.0009950602,0.000160075],"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":[0.0002916159,0.0002384573,0.002189703,0.0003754913,0.0001091835,0.0003022664,0.0002790258,0.007558042,0.008885931,0.01147958,0.01946624,0.9488244],"study_design_scores_gemma":[0.0002205364,0.0002037813,0.002369986,0.0001721656,0.0001893009,0.001057562,0.0004012255,0.7902291,0.04222784,0.07516078,0.08765244,0.0001152544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004230453,0.000227275,0.9841307,0.0001770808,0.0001250827,0.0001969223,0.0009221606,0.009202967,0.0007874767],"genre_scores_gemma":[0.02002604,0.0001203109,0.9751286,0.00008752989,0.00004362042,0.0002000637,0.001829521,0.000507017,0.002057227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01011887,"threshold_uncertainty_score":0.03385103,"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."}}