{"id":"W2097334037","doi":"10.2105/ajph.94.3.416","title":"Pitfalls of and Controversies in Cluster Randomization Trials","year":2004,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":448,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Randomization; Inference; Cluster (spacecraft); Randomized controlled trial; Multitude; Research design; Clinical trial; Selection (genetic algorithm); Cluster randomised controlled trial; Causal inference; Medicine; Computer science; Statistics; Artificial intelligence; Pathology; Mathematics; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7966242,0.00282039,0.009706033,0.009087432,0.007041746,0.01286865,0.01434884,0.02827734,0.003445228],"category_scores_gemma":[0.8737578,0.003889094,0.008766645,0.0122793,0.061436,0.02789411,0.01455359,0.04414906,0.001372813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0113532,"about_ca_system_score_gemma":0.02275883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005474815,"about_ca_topic_score_gemma":0.007065886,"domain_scores_codex":[0.1385191,0.7298067,0.06168661,0.01390559,0.05452544,0.001556613],"domain_scores_gemma":[0.08213355,0.8464582,0.02173269,0.02709703,0.02004183,0.002536783],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003154938,0.0001703539,0.003292081,0.01594219,0.004291271,0.0007845042,0.01084363,0.00347474,0.0003198577,0.5460152,0.0972156,0.3144957],"study_design_scores_gemma":[0.002882037,0.000600901,0.001662496,0.02442033,0.001571489,0.0009013523,0.002140875,0.00767112,0.0007123392,0.8684974,0.08854441,0.0003951805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003229733,0.09759022,0.1579043,0.7143956,0.01944278,0.002069887,0.0002817946,0.0005140898,0.004571605],"genre_scores_gemma":[0.1019047,0.03049222,0.4279418,0.38634,0.03910164,0.01223444,0.0001578563,0.0005197529,0.001307585],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2033758,"threshold_uncertainty_score":0.2507986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7335041995331648,"score_gpt":0.566775559212662,"score_spread":0.1667286403205028,"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."}}