{"id":"W207646885","doi":"10.1007/978-3-642-38457-8_11","title":"Selective Retrieval for Categorization of Semi-structured Web Resources","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Categorization; Information retrieval; Ranking (information retrieval); Directory; Set (abstract data type); Process (computing); Task (project management); Entity linking; World Wide Web; Web page; Data mining; Artificial intelligence; Knowledge base","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006759462,0.0004111979,0.0006203813,0.0009313869,0.0002077412,0.0003647991,0.002755976,0.0003339335,0.00001709375],"category_scores_gemma":[0.0002592122,0.0003594401,0.0001713434,0.001076538,0.0004648692,0.0005702095,0.0006596585,0.0004215671,0.00001020165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675101,"about_ca_system_score_gemma":0.0005315632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003261895,"about_ca_topic_score_gemma":0.00003917676,"domain_scores_codex":[0.9967989,0.00003595486,0.0005735274,0.00131799,0.000795228,0.0004784426],"domain_scores_gemma":[0.9970462,0.0005180264,0.000544159,0.001141623,0.0006313553,0.0001186308],"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":[0.00007741618,0.00009196469,0.0003700779,0.0004181707,0.0002392593,0.00002213969,0.007095149,0.07991251,0.01883564,0.05200625,0.0009821071,0.8399493],"study_design_scores_gemma":[0.0003600387,0.0002817464,0.000137607,0.0002449574,0.00003493511,0.00001603959,5.787142e-7,0.8811395,0.0150642,0.1002555,0.001841024,0.0006239034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006032679,0.0002037682,0.9968009,0.0002702554,0.0006713515,0.0003817423,0.00003672384,0.00009296444,0.0009390044],"genre_scores_gemma":[0.5957907,0.00003462257,0.4022965,0.0003429856,0.0005640532,0.00001049068,0.00004948751,0.00004183482,0.0008693321],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8393254,"threshold_uncertainty_score":0.9998857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253512869794304,"score_gpt":0.2330384927091037,"score_spread":0.2205033640111607,"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."}}