{"id":"W2804847420","doi":"10.1016/j.ijmedinf.2018.05.009","title":"Laboratory testing in primary care: A systematic review of health IT impacts","year":2018,"lang":"en","type":"review","venue":"International Journal of Medical Informatics","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of British Columbia; Université du Québec à Trois-Rivières; HEC Montréal; Université de Sherbrooke","funders":"Inforoute Santé du Canada","keywords":"CINAHL; Health care; Medicine; MEDLINE; Clinical decision support system; Process (computing); Medical laboratory; Ambulatory care; Decision support system; Computer science; Nursing; Psychological intervention; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01485947,0.000290844,0.004883867,0.0004476441,0.0000188298,0.00003841681,0.0009146809,0.0003650714,0.000101298],"category_scores_gemma":[0.04090622,0.000186344,0.0005929953,0.0005435922,0.000121703,0.0003296375,0.0001543599,0.001479632,0.00002994816],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008330186,"about_ca_system_score_gemma":0.01139913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001404219,"about_ca_topic_score_gemma":0.000003702703,"domain_scores_codex":[0.985299,0.0007959451,0.009878712,0.0000953546,0.003697696,0.0002332809],"domain_scores_gemma":[0.9809203,0.003335154,0.01166357,0.0003403913,0.003281114,0.0004594644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001963551,0.0001511387,0.00001094164,0.9258373,0.0005724998,0.00009791712,0.0003896029,5.344527e-8,1.315643e-8,0.00002920415,0.002228646,0.070663],"study_design_scores_gemma":[0.0008400414,0.0003507923,0.000003247199,0.7730485,0.0009400555,0.0005647454,0.0002653574,0.00002162379,4.78182e-8,0.000002612232,0.2238633,0.0000996624],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001124856,0.9953755,0.00009470664,0.002376186,0.0007716141,0.0009134972,0.0000814055,0.000007125482,0.000368734],"genre_scores_gemma":[0.00001128076,0.9825363,0.001396009,0.01542925,0.0005217575,0.00001052554,0.00006747988,0.00002185492,0.000005598662],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2216346,"threshold_uncertainty_score":0.9942053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298809061727151,"score_gpt":0.4934869963982152,"score_spread":0.3636060902255002,"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."}}