{"id":"W2080549944","doi":"10.1145/1394251.1394257","title":"Advances in information and knowledge management","year":2008,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Universidade de Lisboa; Pennsylvania State University","keywords":"Computer science; Data science; Knowledge extraction; Data management; Personal information management; XML; Digital library; World Wide Web; Information management; Information extraction; Knowledge management; Information system; Information retrieval; Management information systems; Database; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.00104836,0.00007691629,0.000121175,0.0003010132,0.0001138185,0.00009071332,0.0006074062,0.00002522538,0.0000495689],"category_scores_gemma":[0.0005225273,0.00006045977,0.00002349202,0.0004555489,0.00007012369,0.002524085,0.0008027368,0.00004989798,0.000714048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878321,"about_ca_system_score_gemma":0.000009108003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001149561,"about_ca_topic_score_gemma":0.0001407755,"domain_scores_codex":[0.9987552,0.00005010619,0.0004022959,0.0001810471,0.0004132752,0.0001981398],"domain_scores_gemma":[0.9990746,0.0002129266,0.00008928518,0.0005388318,0.00003798813,0.0000464103],"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":[0.00001585972,0.00003814165,0.009543776,0.00001714617,0.000003386796,0.000006791177,0.0009378268,0.00001508469,6.5913e-7,0.0627684,0.04112294,0.88553],"study_design_scores_gemma":[0.0003528258,0.00002671443,0.02836466,0.000009314992,0.000001984444,0.000003004912,0.003379293,0.0001247894,0.00001443719,0.04699444,0.9206458,0.00008275341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.148992,0.00355446,0.0170156,0.007117624,0.001049615,0.0009578125,0.00004365402,0.0001361664,0.821133],"genre_scores_gemma":[0.9925918,0.002528861,0.002004896,0.0009252126,0.0000142368,0.0000253633,0.00001590847,0.000003017622,0.001890728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8854472,"threshold_uncertainty_score":0.9177881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07697138455936814,"score_gpt":0.3808004260670133,"score_spread":0.3038290415076452,"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."}}