{"id":"W1974589233","doi":"10.1109/asonam.2009.51","title":"Predicting User Behaviour to Facilitate Efficient Provision of Health Applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; License; Resource (disambiguation); Usage data; Data science; World Wide Web; Web mining; Health care; Software; Social network (sociolinguistics); The Internet; Social media; Web page","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004958491,0.00008548519,0.00018714,0.0002318986,0.0001324391,0.00002652447,0.0001390592,0.00005206479,0.00002340462],"category_scores_gemma":[0.00003319267,0.00007180986,0.00003443635,0.0004587623,0.00001145229,0.00009079187,0.00005619077,0.00007250066,0.0001069428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003052432,"about_ca_system_score_gemma":0.00002880159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006045658,"about_ca_topic_score_gemma":0.0002678253,"domain_scores_codex":[0.998942,0.000007858986,0.000432133,0.0002186822,0.0001572324,0.000242095],"domain_scores_gemma":[0.9994189,0.000008871372,0.0001707373,0.0002489952,0.0001355242,0.00001697849],"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":[0.00001189763,0.0003618398,0.1107542,0.0004643158,0.000007057619,0.000001111231,0.000235016,0.0003364242,0.0006967022,0.1653635,0.00355157,0.7182164],"study_design_scores_gemma":[0.0007928326,0.0002972749,0.3433732,0.0002724576,0.0000184586,0.000003746071,0.002246879,0.004758657,0.0002184095,0.001880272,0.6456679,0.0004698668],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382296,0.00007942471,0.03787992,0.01310215,0.0001135617,0.002322904,0.000005669817,0.0004444981,0.007822234],"genre_scores_gemma":[0.9974419,8.907249e-7,0.0006833337,0.001385035,0.00009318909,0.00008469306,0.000007670385,0.000006814515,0.000296438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7177465,"threshold_uncertainty_score":0.9139266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787571361468762,"score_gpt":0.2821768247947773,"score_spread":0.2443011111800897,"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."}}