{"id":"W2399879074","doi":"","title":"Open Virtual Patient Authoring System from McGill University.","year":2009,"lang":"en","type":"article","venue":"Bio-Algorithms and Med-Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Human–computer interaction; Multimedia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660743,0.0001997823,0.0003609313,0.0001050685,0.0003220589,0.0003387331,0.001089236,0.0001259144,0.000001402923],"category_scores_gemma":[0.00001689104,0.0001699658,0.00004708171,0.0002283308,0.00002884356,0.000570911,0.000534272,0.0001023861,0.00002566874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368525,"about_ca_system_score_gemma":0.00004610095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471268,"about_ca_topic_score_gemma":0.00001283781,"domain_scores_codex":[0.9984128,0.000121227,0.0002643668,0.0005777069,0.0002854142,0.0003384941],"domain_scores_gemma":[0.9989972,0.00008329924,0.000145056,0.0004958871,0.00007902566,0.0001995977],"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":[0.00007204431,0.0002505726,0.0007341338,0.00009245765,0.0001960194,0.001183268,0.002922125,0.0003461053,0.001578972,0.4134924,0.008700188,0.5704318],"study_design_scores_gemma":[0.002836138,0.001713614,0.008817635,0.0008412515,0.00008768468,0.0002310704,0.01938824,0.2833096,0.001420422,0.0002986097,0.6796134,0.001442419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4069729,0.01418925,0.5036729,0.00494958,0.02692933,0.004850353,0.0008310176,0.003240776,0.03436387],"genre_scores_gemma":[0.9911392,0.00009308666,0.007262777,0.00008561603,0.0001866,0.000005179643,0.000006954467,0.000008701737,0.001211899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6709132,"threshold_uncertainty_score":0.6931005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348617306770567,"score_gpt":0.2255060162559145,"score_spread":0.2020198431882088,"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."}}