{"id":"W2471575227","doi":"","title":"Table 3, Frequency distributions of urinary iodine concentrations in healthy term infants in 14 cities in Europe and in Toronto, Canada","year":2014,"lang":"en","type":"article","venue":"","topic":"Neonatal Health and Biochemistry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Term (time); Table (database); Geography; Demography; Environmental science; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001568321,0.00007891496,0.0002153723,0.00003801211,0.0000174393,0.000002638233,0.00004089982,0.00005189326,0.0001072375],"category_scores_gemma":[0.0001543668,0.00007276025,0.000005306,0.0002427086,0.00005088067,0.00006505362,0.00002141759,0.0001474606,2.436549e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003815992,"about_ca_system_score_gemma":0.001023973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8055193,"about_ca_topic_score_gemma":0.9731852,"domain_scores_codex":[0.9990613,0.00003367586,0.0003944717,0.0001478038,0.00009961249,0.0002630744],"domain_scores_gemma":[0.9996189,0.00005749657,0.00004086636,0.000115738,0.00004255397,0.0001243971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002160239,0.0001545502,0.9963946,0.000358363,9.970181e-7,0.00004438543,0.00007783003,9.47694e-7,0.001534599,0.0005492812,0.0002107048,0.0004576867],"study_design_scores_gemma":[0.002296078,0.0002026703,0.9946977,0.0002585006,0.000001652887,0.00001958899,0.0002874302,0.0001264245,0.001546492,0.00003417954,0.0004519142,0.00007736301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897868,0.001220979,0.000003617684,0.001085507,0.00003947892,0.000220372,0.0001038298,0.000004711901,0.00753468],"genre_scores_gemma":[0.9988021,0.0003672801,0.00008570295,0.0004035325,0.00001871332,0.00001496839,0.0001422898,0.00000372089,0.000161743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1676658,"threshold_uncertainty_score":0.2967077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869614019019763,"score_gpt":0.267816872640109,"score_spread":0.2591207324499114,"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."}}