{"id":"W4210981376","doi":"10.1007/978-1-4471-7452-3_30","title":"Data Mining","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Web mining; Computer science; Data mining; Knowledge extraction; Data science; Information retrieval; World Wide Web; Web page","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":[0.001053792,0.001212866,0.0008559206,0.003178224,0.0008232861,0.003573693,0.001927324,0.0008850376,0.07833625],"category_scores_gemma":[0.002998503,0.0006159181,0.0008874214,0.004413942,0.0005758711,0.003641967,0.001977459,0.001593305,0.08982015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006558088,"about_ca_system_score_gemma":0.001088952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005844922,"about_ca_topic_score_gemma":0.0009565372,"domain_scores_codex":[0.9991894,0.00007187973,0.00005648397,0.0002189524,0.0004340922,0.00002919922],"domain_scores_gemma":[0.9989882,0.0003498846,0.00004405432,0.0002843348,0.000282775,0.00005073432],"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":[0.00001771711,0.00004277565,0.0002114448,0.000457354,0.00002230023,0.0000561683,0.00008154394,0.000548102,0.001576843,0.03990117,0.2533293,0.7037551],"study_design_scores_gemma":[0.000004456862,0.00001813916,0.0003664042,0.0001998855,0.00001365476,0.0004046175,0.00005226992,0.002774259,0.002130407,0.05027204,0.9437497,0.0000141776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002180831,0.01673854,0.4160681,0.007063055,0.002902053,0.0006050695,0.006217071,0.007469427,0.5407557],"genre_scores_gemma":[0.0139914,0.01947664,0.2601642,0.003584626,0.001923426,0.0004212691,0.01219671,0.001223392,0.6870184],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07833625,"threshold_uncertainty_score":0.2620609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08571840790610807,"score_gpt":0.2643398679505388,"score_spread":0.1786214600444307,"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."}}