{"id":"W28634153","doi":"10.2196/mhealth.6497","title":"Model Driven Architecture in Adaptive Library Generation","year":2008,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Computer science; Geography","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":[0.004722718,0.0005566027,0.0006545684,0.0008427346,0.0006213787,0.001473688,0.002009739,0.001393457,0.005770086],"category_scores_gemma":[0.01451818,0.0007104374,0.000940161,0.0007229828,0.001181441,0.00181423,0.001979331,0.001310179,0.0008940405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748906,"about_ca_system_score_gemma":0.001878421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235316,"about_ca_topic_score_gemma":0.01139959,"domain_scores_codex":[0.9975181,0.00145799,0.0001104093,0.0003357832,0.0004121632,0.0001657068],"domain_scores_gemma":[0.9937902,0.004874925,0.000165634,0.0005054598,0.0005333143,0.0001304706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003432121,0.0002385859,0.003281845,0.0001337936,0.00007305132,0.0001900308,0.0006827492,0.8285273,0.002821469,0.05245267,0.001599856,0.1096555],"study_design_scores_gemma":[0.00002786201,0.00003572088,0.0001069827,0.000006767596,0.000008588428,0.00002195631,0.0000255957,0.9846556,0.000485651,0.01375938,0.0008600956,0.00000583844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02716427,0.0001170361,0.9672101,0.0003130241,0.00003062391,0.0002518383,0.00009050905,0.00150745,0.00331518],"genre_scores_gemma":[0.6089396,0.0001423058,0.3852842,0.0001839618,0.00002145974,0.0007094073,0.0003093305,0.0002169323,0.004192756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01235316,"threshold_uncertainty_score":0.02497637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07859032508813274,"score_gpt":0.3196382841128435,"score_spread":0.2410479590247107,"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."}}