{"id":"W2076566683","doi":"10.1111/j.1537-2995.2007.01392.x","title":"Randomization in clinical trials","year":2007,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Canadian Blood Services","funders":"","keywords":"Citation; Library science; Randomization; Clinical trial; Medicine; Family medicine; Computer science; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.01196886,0.00009234373,0.0005249021,0.0001976898,0.00002856859,0.000005768134,0.00003867588,0.0001285237,0.0005197423],"category_scores_gemma":[0.000326026,0.00007042104,0.0002284491,0.0002658121,0.0000269203,0.00004036124,0.000005550339,0.0002019566,0.00004221158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909653,"about_ca_system_score_gemma":0.00002573284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006516458,"about_ca_topic_score_gemma":0.0003395581,"domain_scores_codex":[0.9980515,0.0002603102,0.001072148,0.0002164372,0.0002208584,0.0001786944],"domain_scores_gemma":[0.9992422,0.0003885897,0.00005421015,0.0001620126,0.00003170734,0.0001212793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01934357,0.001633404,0.05034583,0.0001347213,0.00008232809,0.0001886396,0.0006414559,0.00001196083,0.01683612,0.002274542,0.00113986,0.9073676],"study_design_scores_gemma":[0.1590808,0.000829415,0.7570608,0.0003832638,0.0005708654,0.00003197166,0.000423356,0.0005929886,0.01285067,0.0004060427,0.06742953,0.0003403168],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587329,0.0001693809,0.1099748,0.002614527,0.0005862291,0.00188324,9.384215e-7,0.0001012795,0.02593668],"genre_scores_gemma":[0.9950195,0.002007904,0.0009236212,0.001195117,0.0001740679,0.00000986718,0.0000157819,0.00001399577,0.000640135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9070272,"threshold_uncertainty_score":0.5690814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09922286610997211,"score_gpt":0.4307594095259197,"score_spread":0.3315365434159476,"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."}}