{"id":"W4406511348","doi":"10.1016/j.ysur.2015.03.155","title":"10.1016/j.ysur.2015.03.155","year":2000,"lang":"en","type":"review","venue":"Time to knit","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Computed tomographic; Meta-analysis; Computed tomography; Radiology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003432164,0.000901208,0.0008330958,0.001185655,0.0003347432,0.001634949,0.0008169689,0.001696204,0.4124202],"category_scores_gemma":[0.0009731645,0.0002551798,0.0004734895,0.001371404,0.0005429778,0.001404575,0.0006255344,0.001286161,0.3452163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004694524,"about_ca_system_score_gemma":0.0006720014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287347,"about_ca_topic_score_gemma":0.001150736,"domain_scores_codex":[0.9998779,0.00001525531,0.00001580097,0.00003328544,0.00004106896,0.00001659741],"domain_scores_gemma":[0.9996222,0.000143347,0.00008821431,0.00001872629,0.00008573008,0.00004186818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009981574,0.00006624104,0.0003309621,0.004266555,0.00004663574,0.0001378298,0.00004612913,0.000145549,0.000570357,0.002774012,0.09237228,0.8991436],"study_design_scores_gemma":[0.00002427936,0.00006205629,0.0006947591,0.002242128,0.00006002509,0.001634021,0.00003808981,0.00004860364,0.0002335347,0.001419046,0.9935323,0.00001108207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001282427,0.8447429,0.001339438,0.003332178,0.002058679,0.00004556419,0.001373763,0.0004699592,0.1453551],"genre_scores_gemma":[0.01354153,0.7007684,0.002680785,0.00411227,0.002562369,0.0001185905,0.001968199,0.0001903916,0.2740575],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5875798,"threshold_uncertainty_score":0.8381113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197229567927711,"score_gpt":0.2786062124272727,"score_spread":0.2566339167479956,"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."}}