{"id":"W2031981104","doi":"10.1001/archsurg.2009.293","title":"What Do We Gain and Lose From Database Studies?","year":2010,"lang":"en","type":"letter","venue":"Archives of Surgery","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Database; Surgery; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000262913,0.0003669136,0.0008702015,0.0003069621,0.000101342,0.0001090645,0.0005189223,0.0002287819,0.00001183461],"category_scores_gemma":[0.0002170733,0.0003081928,0.0001735399,0.0001255309,0.0005058027,0.001632109,0.001242589,0.001374611,0.00001265188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005795855,"about_ca_system_score_gemma":0.00009746588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009130278,"about_ca_topic_score_gemma":0.000020607,"domain_scores_codex":[0.9977103,0.0001886868,0.0005428401,0.0008137075,0.0003554846,0.0003890005],"domain_scores_gemma":[0.9918351,0.00595482,0.0004467101,0.001635855,0.00004079017,0.00008674623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001882765,0.00003390262,0.0004245156,0.0009636068,0.0002855297,0.001179528,0.002221419,8.917713e-7,0.00118783,0.002240589,0.788899,0.2025444],"study_design_scores_gemma":[0.00009325008,0.00001024088,0.0001033309,0.002796544,0.00001846908,0.00002307019,0.0002109821,0.00007178202,0.0006252099,0.005865028,0.9897755,0.0004066226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.005815015,0.2233993,0.1993815,0.5522661,0.01428295,0.0007328112,0.003553092,0.0003150358,0.0002542309],"genre_scores_gemma":[0.0008286076,0.4110068,0.3318451,0.241538,0.009066205,0.0001678846,0.003021817,0.0002104381,0.002315168],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3107281,"threshold_uncertainty_score":0.999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04947215824883857,"score_gpt":0.2798762909158664,"score_spread":0.2304041326670278,"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."}}