{"id":"W1482288948","doi":"10.3233/wia-2012-0232","title":"Selecting queries from sample to crawl deep web data sources","year":2012,"lang":"en","type":"article","venue":"Web Intelligence and Agent Systems An International Journal","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Nanjing University","keywords":"Deep Web; Sample (material); Computer science; Information retrieval; World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00376813,0.001674701,0.003108274,0.004121101,0.001239065,0.003281984,0.001838094,0.001797371,0.0009647117],"category_scores_gemma":[0.02336021,0.0009513,0.001070133,0.003753561,0.0008561804,0.005251877,0.002601863,0.001873693,0.001575261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007828831,"about_ca_system_score_gemma":0.001688805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982048,"about_ca_topic_score_gemma":0.006642211,"domain_scores_codex":[0.9948071,0.001502623,0.0005924546,0.0009991257,0.001731289,0.0003674334],"domain_scores_gemma":[0.984839,0.008552605,0.001000722,0.002634601,0.002274626,0.0006984542],"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":[0.001596892,0.001620552,0.05682814,0.001746376,0.0003975123,0.00116329,0.003176065,0.04045624,0.1145973,0.01220356,0.035793,0.730421],"study_design_scores_gemma":[0.0002162508,0.0006664718,0.01358225,0.0001499308,0.0002057247,0.001401511,0.00233891,0.8783535,0.05260667,0.02515686,0.02519293,0.0001288615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2491778,0.002286899,0.7261054,0.001553926,0.0001068295,0.001288331,0.004735262,0.01262749,0.002118082],"genre_scores_gemma":[0.3624941,0.0006743923,0.6216057,0.0003777106,0.000108267,0.0006494115,0.01118373,0.001080402,0.001826358],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004121101,"threshold_uncertainty_score":0.01992804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07823562605587984,"score_gpt":0.3229699100774922,"score_spread":0.2447342840216123,"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."}}