{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022178,0.0005063221,0.0004233567,0.004011583,0.0004070262,0.001400851,0.0004082614,0.0004995241,0.001567884],"category_scores_gemma":[0.01206843,0.000295683,0.000363829,0.002794337,0.0001739457,0.001186129,0.0004779019,0.0005749297,0.0009637801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008326414,"about_ca_system_score_gemma":0.001066986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159182,"about_ca_topic_score_gemma":0.02729319,"domain_scores_codex":[0.9988388,0.0005112881,0.0001581696,0.0001339444,0.0002578677,0.00009989625],"domain_scores_gemma":[0.9905933,0.006384369,0.001231607,0.0004990936,0.001016887,0.0002748359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003175036,0.0008155428,0.7754214,0.0002795282,0.00009557093,0.0001297251,0.001658115,0.01310627,0.004340037,0.000877883,0.005180362,0.197778],"study_design_scores_gemma":[0.00003585108,0.0005881778,0.6392775,0.0001807704,0.00009868197,0.0002599918,0.005222305,0.3356932,0.007236743,0.004075963,0.007250307,0.00008047024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315639,0.0004530358,0.0485126,0.002359198,0.00002666019,0.0007249531,0.007647,0.001836845,0.006875825],"genre_scores_gemma":[0.9399246,0.0002695445,0.05489034,0.000100083,0.00001782217,0.0001553515,0.003792031,0.00004152497,0.0008087813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0159182,"threshold_uncertainty_score":0.03165108,"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."}}