{"id":"W2129163850","doi":"10.1001/jama.2014.5559","title":"How to Read a Systematic Review and Meta-analysis and Apply the Results to Patient Care","year":2014,"lang":"en","type":"review","venue":"JAMA","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":451,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Population Health Research Institute; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Credibility; Meta-analysis; Consistency (knowledge bases); Confidence interval; MEDLINE; Publication bias; Evidence-based medicine; Systematic review; Quality (philosophy); Quality of evidence; Alternative medicine; Computer science","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","metaepi_narrow","metaepi_broad","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.1054741,0.001119435,0.05201078,0.001066712,0.0002447906,0.00439958,0.003019905,0.0002457775,0.000525399],"category_scores_gemma":[0.1083126,0.0003464737,0.01353178,0.006068057,0.00007050524,0.0001439421,0.0007476869,0.0003433017,0.001446547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006131924,"about_ca_system_score_gemma":0.00006716533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003761893,"about_ca_topic_score_gemma":0.0001965329,"domain_scores_codex":[0.9436121,0.03142408,0.016332,0.002557944,0.005671127,0.0004027735],"domain_scores_gemma":[0.960883,0.01143444,0.01322138,0.01172353,0.002138698,0.0005989645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000125132,0.000008002383,4.536903e-7,0.6378025,0.06604593,0.00000384076,0.0007464439,0.000001204765,2.834193e-9,0.0001553633,0.05490698,0.240328],"study_design_scores_gemma":[0.00002064913,0.00003659968,6.884325e-7,0.01033852,0.4613567,0.00001443665,0.0003022469,0.000003149649,8.512002e-9,0.00001350963,0.527701,0.0002125173],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.273429e-7,0.9771885,0.001212745,0.006929819,0.00005563676,0.01314854,0.0004477158,0.000006912967,0.001009667],"genre_scores_gemma":[0.00002811599,0.9763991,0.001539065,0.004102105,0.00006592178,0.003383745,0.00004753305,0.00003710959,0.01439734],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.627464,"threshold_uncertainty_score":0.9998987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6301240771174976,"score_gpt":0.5044127862148174,"score_spread":0.1257112909026802,"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."}}