{"id":"W4390166159","doi":"10.1101/2023.12.21.23300389","title":"Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Healthcare","year":2023,"lang":"en","type":"review","venue":"medRxiv","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data science; Statistical inference; Pooling; Health care; Data mining; Workflow; Inference; USable; Statistical model; Management science; Machine learning; Artificial intelligence; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04336226,0.001776876,0.003288319,0.02999348,0.001424131,0.005952217,0.002718086,0.003637239,0.004034339],"category_scores_gemma":[0.143181,0.001286046,0.005185963,0.03193106,0.003344663,0.00521331,0.003886782,0.003643857,0.001198462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005917817,"about_ca_system_score_gemma":0.02332572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007432195,"about_ca_topic_score_gemma":0.01258187,"domain_scores_codex":[0.9678398,0.01653376,0.008179097,0.001702599,0.005313722,0.0004310802],"domain_scores_gemma":[0.8292181,0.1474162,0.006299412,0.004042648,0.01263323,0.0003904316],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000777374,0.00005957549,0.0004747787,0.2875626,0.0007309705,0.0003198994,0.002194331,0.001676935,0.0005396123,0.0569196,0.01602403,0.63342],"study_design_scores_gemma":[0.00003189596,0.00007713519,0.001058733,0.6279936,0.001427337,0.0004685482,0.001159985,0.0007461645,0.0004807489,0.02219948,0.3442744,0.00008186862],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003713794,0.9811162,0.01141122,0.002450783,0.0005673541,0.0006178731,0.0002856004,0.00006644554,0.003113177],"genre_scores_gemma":[0.005021665,0.9679905,0.02336791,0.001082876,0.0001967525,0.001587238,0.000271946,0.00004502917,0.0004360489],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9566377,"threshold_uncertainty_score":0.2293243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5197468601909546,"score_gpt":0.5752067852484413,"score_spread":0.05545992505748665,"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."}}