{"id":"W2771989056","doi":"10.1016/j.suronc.2017.11.010","title":"How to conduct a high-quality systematic review on diagnostic research topics","year":2017,"lang":"en","type":"review","venue":"Surgical Oncology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Rigour; Grading (engineering); Systematic review; Quality (philosophy); Computer science; Management science; Data science; Test (biology); Risk analysis (engineering); MEDLINE; Medical physics; Medicine; Engineering; Political 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":["metaresearch","metaepi_narrow","metaepi_broad","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.4139802,0.001080292,0.05409395,0.001076,0.0005112678,0.002086693,0.009293711,0.0009827008,0.00551829],"category_scores_gemma":[0.6248904,0.0004370931,0.008616189,0.002370367,0.0003376045,0.0001574808,0.001122842,0.001780183,0.03770042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006494726,"about_ca_system_score_gemma":0.001108866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002194093,"about_ca_topic_score_gemma":0.00004466102,"domain_scores_codex":[0.762104,0.1991599,0.02272934,0.003170893,0.01176806,0.001067848],"domain_scores_gemma":[0.6551597,0.2822879,0.02775849,0.02759423,0.005596468,0.001603151],"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":[0.000001823516,0.00008460736,3.600223e-7,0.393916,0.000322468,0.0003332088,0.00001258451,6.378395e-8,3.003271e-9,0.00828211,0.06833342,0.5287133],"study_design_scores_gemma":[0.00007767993,0.0002588019,8.41541e-7,0.2269966,0.00228955,0.0001204204,0.00001997873,3.764297e-7,1.602575e-8,0.0008935238,0.7690115,0.0003306535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.65061e-7,0.942311,0.00003483591,0.00866735,0.001217992,0.01168083,0.00009037624,0.00001125796,0.03598567],"genre_scores_gemma":[0.000005908813,0.8939091,0.0002262592,0.0005425496,0.0006403442,0.002616839,0.00004269888,0.00004023179,0.1019761],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7006781,"threshold_uncertainty_score":0.9998081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9661032409767162,"score_gpt":0.733691166008336,"score_spread":0.2324120749683802,"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."}}