{"id":"W2018607360","doi":"10.1097/hp.0b013e318213be69","title":"RAPID URINARY OUTPUT NORMALIZATION METHOD USING SPECIFIC GRAVITY","year":2011,"lang":"en","type":"article","venue":"Health Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada)","funders":"International Atomic Energy Agency","keywords":"Normalization (sociology); Urine; Urinary system; Medicine; Computer science; Urology; Internal medicine","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":[0.0002902657,0.00009463096,0.0002074278,0.00005184681,0.0001351711,0.00000795284,0.00004045187,0.0000296993,0.00006563749],"category_scores_gemma":[0.000009478433,0.00009312826,0.00005313925,0.0002275752,0.00002032935,0.0001812549,0.00001735405,0.0001317292,0.0000463721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030402,"about_ca_system_score_gemma":0.0001726346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240717,"about_ca_topic_score_gemma":3.308869e-7,"domain_scores_codex":[0.9991089,0.00009802829,0.0002304252,0.0001745796,0.0001580674,0.0002300668],"domain_scores_gemma":[0.9994031,0.00001769973,0.0001389874,0.000236804,0.00005803738,0.0001454143],"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":[0.0002001103,0.001096157,0.03702753,0.000710271,0.00007178951,0.00003619702,0.01166621,0.0001240574,0.001396719,0.008564493,0.008944024,0.9301624],"study_design_scores_gemma":[0.006363603,0.002072924,0.5790709,0.0007409306,0.0002230757,0.0004759363,0.001339208,0.124494,0.03041434,0.01182116,0.2417948,0.001189045],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1313882,0.001944326,0.8514435,0.001161432,0.0008084412,0.000860165,0.00001137607,0.0002156016,0.01216693],"genre_scores_gemma":[0.9030328,0.0006354651,0.08996993,0.004883857,0.001111498,0.000007261074,0.00007071417,0.00004734792,0.000241134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9289734,"threshold_uncertainty_score":0.379766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19242760647938,"score_gpt":0.3845800447306028,"score_spread":0.1921524382512228,"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."}}