{"id":"W2171723063","doi":"10.3310/hta18280","title":"Assessing methods to specify the target difference for a randomised controlled trial: DELTA (Difference ELicitation in TriAls) review","year":2014,"lang":"en","type":"review","venue":"Health Technology Assessment","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"Medical Research Council; Chief Scientist Office, Scottish Government Health and Social Care Directorate; National Institute for Health and Care Research; Department of Health and Social Care; Cancer Research UK; University of Aberdeen; Scottish Government","keywords":"PsycINFO; Randomized controlled trial; MEDLINE; Sample size determination; Medicine; Cochrane Library; Systematic review; Medical physics; Computer science; Statistics; Mathematics","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","open_science"],"consensus_categories":["metaresearch","metaepi_narrow"],"category_scores_codex":[0.614338,0.001357691,0.05893075,0.00258314,0.0005403474,0.001027793,0.005412471,0.0008897583,0.0006310492],"category_scores_gemma":[0.366189,0.000535832,0.007924512,0.005436111,0.0001472833,0.0001221832,0.0003879762,0.001494884,0.0001618268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006679842,"about_ca_system_score_gemma":0.002730186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001412465,"about_ca_topic_score_gemma":0.00003138,"domain_scores_codex":[0.539333,0.3460056,0.09843355,0.005949294,0.0080206,0.002257967],"domain_scores_gemma":[0.6979145,0.2203733,0.06700855,0.01174087,0.002449301,0.0005134663],"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":[0.0009336748,0.0001146215,0.000003616295,0.0126137,0.0003796963,9.001105e-7,0.00002352355,0.000001635679,3.48869e-7,0.005124238,0.007465411,0.9733387],"study_design_scores_gemma":[0.06822846,0.000317214,0.00001821116,0.02154631,0.002066541,0.0000088916,0.0001295469,0.000942312,1.403637e-7,0.009245795,0.8970537,0.0004428867],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001830754,0.5309529,0.4080676,0.009119559,0.0007061911,0.05097325,0.00002024671,0.00002451728,0.0001339034],"genre_scores_gemma":[0.00001024147,0.7646507,0.1909287,0.002205037,0.0001571568,0.04137672,0.00006164765,0.00005062343,0.0005591326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9728957,"threshold_uncertainty_score":0.9999687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.843786951469111,"score_gpt":0.7116291648612552,"score_spread":0.1321577866078558,"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."}}