{"id":"W4236546772","doi":"10.1002/9781118445112.stat06922","title":"Ethical Challenges Posed by Cluster Randomization","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Cancer Care Ontario","funders":"","keywords":"Informed consent; Randomized controlled trial; Randomization; Institutional review board; Context (archaeology); Cluster (spacecraft); Clinical trial; Psychology; Medicine; Engineering ethics; Alternative medicine; Computer science; Psychiatry; Surgery; Pathology; Geography; Engineering","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","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.0007835822,0.0007695105,0.001041639,0.0004698234,0.0001137035,0.0002369904,0.01987494,0.001767352,0.0005491072],"category_scores_gemma":[0.01848138,0.0007014059,0.00006632659,0.00034867,0.0003831035,0.000161447,0.02251971,0.002046232,0.000372571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328165,"about_ca_system_score_gemma":0.0002235936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001301904,"about_ca_topic_score_gemma":0.0005229202,"domain_scores_codex":[0.9951925,0.0005998384,0.000803459,0.001529704,0.001071152,0.0008033778],"domain_scores_gemma":[0.9888636,0.001051379,0.0008026757,0.008811851,0.0002436562,0.0002267711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000345083,0.0001254136,0.00000186524,0.0001892975,0.00007616662,0.0000165982,0.00002581838,0.00000220217,0.00001660766,0.02865334,0.9133899,0.05746823],"study_design_scores_gemma":[0.002750477,0.0002088515,0.000008203774,0.0006062032,0.00005203861,0.00001078695,0.00001205436,0.06611001,0.00002024539,0.1468454,0.7824157,0.0009600747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[9.164519e-7,0.002908343,0.9444978,0.01605692,0.0007090014,0.0006087424,0.01401686,0.001928769,0.01927266],"genre_scores_gemma":[0.00007227753,0.02437132,0.9361308,0.001152765,0.0002554794,0.0000616969,0.009035648,0.0004463427,0.02847367],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1309742,"threshold_uncertainty_score":0.9995437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093041470132367,"score_gpt":0.3092833283314676,"score_spread":0.2683529136301439,"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."}}