{"id":"W2058615765","doi":"10.1597/11-104","title":"Critical Analysis of Consecutive Unilateral Cleft Lip Repairs: Determining Ideal Sample Size","year":2012,"lang":"en","type":"article","venue":"The Cleft Palate-Craniofacial Journal","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Sample size determination; Ideal (ethics); Orthodontics; Dentistry; Statistics; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001974998,0.0003541634,0.00108319,0.0003640201,0.000320632,0.0001103711,0.0003442396,0.0001601825,0.0009884037],"category_scores_gemma":[0.008885597,0.0002450161,0.0006413503,0.0008539907,0.0009803989,0.000504062,0.0001337004,0.0009915878,0.0000347121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400364,"about_ca_system_score_gemma":0.0002084266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008813217,"about_ca_topic_score_gemma":0.000005882674,"domain_scores_codex":[0.9963911,0.0003009455,0.00115404,0.0002796144,0.0009333395,0.000941031],"domain_scores_gemma":[0.995011,0.002723878,0.0003929781,0.0005208491,0.0005278661,0.0008234328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000254789,0.0002514261,0.988098,0.00004625708,0.001433062,0.0001688313,0.004150311,0.00002674735,0.002417929,0.0003853515,0.0007540903,0.002013269],"study_design_scores_gemma":[0.001366812,0.0002679945,0.9873801,0.0002621819,0.004025628,0.001510615,0.00140861,0.001225311,0.00006866306,0.0009058504,0.001308604,0.0002696141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911466,0.00002408634,0.001045716,0.002309762,0.001181735,0.0002294733,0.00005997415,0.00009335168,0.003909315],"genre_scores_gemma":[0.9939099,0.000059624,0.002920021,0.001685248,0.001157533,0.000003585742,0.00001320921,0.00005094002,0.0001999386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006910598,"threshold_uncertainty_score":0.9999248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480602601697625,"score_gpt":0.3272812777169892,"score_spread":0.3024752517000129,"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."}}