{"id":"W2902957037","doi":"10.1701/2990.29928","title":"ROBIS: un nuovo strumento sviluppato per valutare i rischi di distorsione nelle revisioni sistematiche","year":2018,"lang":"en","type":"article","venue":"Recenti Progressi in Medicina","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Medical Research Council","keywords":"Systematic review; Psychological intervention; Relevance (law); Scope (computer science); Identification (biology); Selection bias; Psychology; Guideline; Process (computing); MEDLINE; Health care; Risk analysis (engineering); Medicine; Applied psychology; Computer science; Pathology; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0605671,0.001380992,0.002051988,0.004305639,0.001527742,0.009904977,0.002594479,0.003022005,0.02614776],"category_scores_gemma":[0.158741,0.0008237039,0.002830502,0.00336971,0.003056218,0.006972246,0.004706989,0.004610023,0.007919761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563968,"about_ca_system_score_gemma":0.01428212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003093889,"about_ca_topic_score_gemma":0.005246302,"domain_scores_codex":[0.9438003,0.03236634,0.006413833,0.003088756,0.01311509,0.001215611],"domain_scores_gemma":[0.837167,0.1027407,0.01690353,0.01531195,0.02419041,0.003686411],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002441513,0.0004477832,0.02509444,0.01990982,0.001655327,0.0005308748,0.004314459,0.002176965,0.00235907,0.04866574,0.07561471,0.8167893],"study_design_scores_gemma":[0.001034359,0.004187646,0.03585974,0.03718863,0.004109794,0.003873584,0.00464469,0.004001644,0.01121488,0.06899909,0.824437,0.0004490191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.07483533,0.3217792,0.2324216,0.108101,0.01706139,0.009652922,0.008925605,0.00366305,0.22356],"genre_scores_gemma":[0.5161148,0.1344807,0.2357993,0.0335837,0.009695645,0.01118448,0.006034718,0.002299316,0.05080728],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9394329,"threshold_uncertainty_score":0.3203133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.529563716789256,"score_gpt":0.5178324004883289,"score_spread":0.01173131630092705,"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."}}