{"id":"W2383193820","doi":"","title":"Design and Implementation of Network Search Engine","year":2014,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Tree traversal; Web crawler; Information retrieval; Search engine; Index (typography); World Wide Web; Crawling; Web search engine; Web page; Parsing; Search analytics; Web search query; Programming language","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":[0.0003447282,0.00006350971,0.00009933773,0.0000653474,0.00009034373,0.00006108492,0.000369906,0.00001924497,0.000004175915],"category_scores_gemma":[1.778404e-7,0.00006244185,0.0000214488,0.0003435036,0.00002209743,0.0001112881,0.0001765977,0.0000418443,0.00001290752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006410125,"about_ca_system_score_gemma":0.00001784701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002388994,"about_ca_topic_score_gemma":0.000001790169,"domain_scores_codex":[0.999344,0.00005418839,0.0001595045,0.0002289334,0.00007702163,0.0001363527],"domain_scores_gemma":[0.9994535,0.0001005735,0.0000484977,0.0003035343,0.00004981922,0.00004410775],"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":[4.014544e-7,0.00001887388,0.0005116923,0.00001162284,0.0000215844,7.21867e-8,0.0002862948,0.003477705,0.003317992,0.01803103,0.001642244,0.9726805],"study_design_scores_gemma":[0.0007309972,0.0001344527,0.01071952,0.00002280234,0.00004819645,0.00001800336,0.00005150393,0.7503904,0.02885493,0.005310734,0.2033293,0.0003891574],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002431978,0.00005068859,0.9969255,0.0003205021,0.000004483737,0.0001768018,0.000001823869,0.00004918103,0.00003900282],"genre_scores_gemma":[0.1435809,0.00001058184,0.8561562,0.0001001052,0.00007127329,0.00004857638,0.00001446352,0.000003844051,0.0000139548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9722914,"threshold_uncertainty_score":0.2546305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158142914504863,"score_gpt":0.2663024263377802,"score_spread":0.2547209971927316,"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."}}