{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004360345,0.00154323,0.001425479,0.006444303,0.001836729,0.004285784,0.002408787,0.001229518,0.0095529],"category_scores_gemma":[0.02294575,0.0008522572,0.001361936,0.003790833,0.0004570584,0.003970238,0.004755428,0.001398041,0.006741122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037785,"about_ca_system_score_gemma":0.00310361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155537,"about_ca_topic_score_gemma":0.004685612,"domain_scores_codex":[0.9940513,0.00162342,0.0006107481,0.001291064,0.00207988,0.0003435432],"domain_scores_gemma":[0.9863372,0.003737615,0.0009830414,0.004818321,0.003750811,0.0003729299],"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":[0.0003697961,0.0003445258,0.006969753,0.0005686371,0.0001315585,0.0003566945,0.001318447,0.006322264,0.01483758,0.01537108,0.04700837,0.9064012],"study_design_scores_gemma":[0.0001929989,0.0002486023,0.01782936,0.0006525699,0.0002082831,0.00211026,0.003731234,0.426307,0.1165685,0.09919623,0.3325731,0.0003818838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01363361,0.0002542869,0.9406816,0.0003663524,0.0001315927,0.000908147,0.003889547,0.03339693,0.00673802],"genre_scores_gemma":[0.1081477,0.0004388005,0.8663295,0.0002082307,0.00005210262,0.0008271138,0.01324943,0.00213804,0.00860907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0095529,"threshold_uncertainty_score":0.03195763,"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."}}