{"id":"W16242065","doi":"10.1016/s1499-4046(06)60164-4","title":"Automated profile mapping","year":2006,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interoperability; Personalization; Set (abstract data type); Information retrieval; Data exchange; Information system; User profile; Data mining; Database; World Wide Web; Engineering; 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":[0.0001393704,0.00004548903,0.00008553993,0.0002233567,0.00006322406,0.000119421,0.0001341897,0.00002573478,0.00001062795],"category_scores_gemma":[0.000009643901,0.00003980417,0.00004053542,0.0002425464,0.00001245594,0.0004458986,0.00001453549,0.00006047217,0.000004285458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002080963,"about_ca_system_score_gemma":0.00007705814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001370144,"about_ca_topic_score_gemma":8.94311e-7,"domain_scores_codex":[0.9994737,0.00002621316,0.0002368502,0.00007560546,0.0001238598,0.00006380652],"domain_scores_gemma":[0.9994773,0.00001297418,0.0001944044,0.00008903397,0.0001810485,0.00004520622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007047503,0.03372748,0.03922634,0.0001869907,0.0000431947,0.00005311328,0.001019289,0.000008659717,0.06933633,0.006734625,0.3550115,0.4946454],"study_design_scores_gemma":[0.001628237,0.0002696539,0.8850097,0.0004741438,0.0002076296,0.001544001,0.002068929,0.007135067,0.006205453,0.001293866,0.09374556,0.0004177722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858204,0.0004586948,0.01110801,0.001670376,0.0005413402,0.00007078438,0.000003794169,0.00007431768,0.0002523279],"genre_scores_gemma":[0.9131984,0.00002901832,0.08606314,0.00007843613,0.0002909919,0.00001556271,0.0000136329,0.000002615072,0.0003081824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8457834,"threshold_uncertainty_score":0.1623167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550001804319407,"score_gpt":0.2839225771752341,"score_spread":0.26842255913204,"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."}}