{"id":"W4403875864","doi":"10.1186/s12874-024-02366-4","title":"Interpretation of statistical findings in randomised trials: a survey of statisticians using thematic analysis of open-ended questions","year":2024,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Statistical Society of Australia; Department of Health and Social Care; National Institute for Health and Care Research; United Kingdom Clinical Research Collaboration","keywords":"Thematic analysis; Interpretation (philosophy); Clinical trial; Descriptive statistics; Psychology; Medical education; Medicine; Qualitative research; Computer science; Statistics; Pathology; Sociology; Social science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8553411,0.0001899759,0.01035312,0.004386378,0.00004420649,0.0001884755,0.002417782,0.0002180469,0.01614106],"category_scores_gemma":[0.9651953,0.00009735901,0.001122142,0.01053111,0.0008369048,0.0001382513,0.0004400476,0.0004949605,0.00002995181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007126122,"about_ca_system_score_gemma":0.002163195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004279648,"about_ca_topic_score_gemma":0.008020255,"domain_scores_codex":[0.1782553,0.77622,0.02904188,0.001474759,0.01437778,0.0006303635],"domain_scores_gemma":[0.1124157,0.8795839,0.002930118,0.001724021,0.003052799,0.0002934423],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01214907,0.001776802,0.08623441,0.008205648,0.0201656,0.000147477,0.02096594,0.006724435,0.01210041,0.430605,0.01301196,0.3879132],"study_design_scores_gemma":[0.001546869,0.000133486,0.03846698,0.0006135044,0.001464736,0.000003325148,0.001291396,0.9121779,0.00009450997,0.04409654,0.00002481957,0.00008592004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.130876,0.0007367799,0.8664378,0.00008275315,0.0001286624,0.001121846,0.0002879144,0.000001679132,0.000326498],"genre_scores_gemma":[0.744283,0.00006717565,0.2553785,0.00001016315,0.0000108243,0.00006447126,0.00003915376,0.000008818511,0.0001379043],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9054535,"threshold_uncertainty_score":0.9847583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9732457615044802,"score_gpt":0.7657554605446573,"score_spread":0.2074903009598229,"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."}}