{"id":"W1549209249","doi":"10.1002/9781118344828.ch09","title":"Examples of Existing Automated Databases","year":2013,"lang":"en","type":"other","venue":"","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Database; Computer science; Information retrieval","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":[0.010672,0.001048718,0.0008950018,0.01148426,0.002666904,0.008820888,0.005077011,0.001808431,0.02534484],"category_scores_gemma":[0.02448275,0.001124777,0.001481792,0.0266403,0.0007992804,0.009364093,0.005329141,0.001636342,0.01499213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045746,"about_ca_system_score_gemma":0.003337448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007699559,"about_ca_topic_score_gemma":0.007495224,"domain_scores_codex":[0.9874718,0.002369645,0.001894644,0.001662763,0.006014139,0.0005871548],"domain_scores_gemma":[0.9718385,0.009321227,0.001258121,0.009763961,0.007237935,0.0005801062],"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":[0.0003772076,0.0002361282,0.007582533,0.001827514,0.000147375,0.000786969,0.001044553,0.003616536,0.001585591,0.07403804,0.305166,0.6035916],"study_design_scores_gemma":[0.00005685674,0.0000266199,0.002399022,0.000456447,0.00005662531,0.000819089,0.0003863135,0.008306127,0.002868352,0.01746538,0.9670876,0.00007150209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0206234,0.01696375,0.6424383,0.008217466,0.002013644,0.001539288,0.07916062,0.03791865,0.1911249],"genre_scores_gemma":[0.06904939,0.01281216,0.6964499,0.002313696,0.0006886635,0.001066313,0.1745318,0.004702505,0.03838561],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02534484,"threshold_uncertainty_score":0.08478695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4200648275586378,"score_gpt":0.4833273627513735,"score_spread":0.06326253519273572,"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."}}