{"id":"W23751942","doi":"10.1097/iae.0b013e3182953df4","title":"A Multi-isotope Investigation of Two Medieval German Populations: Insight into the Relationship Among Diet, Disease, and Tissue Isotopic Compositions","year":2013,"lang":"en","type":"article","venue":"","topic":"Paleopathology and ancient diseases","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"German; Isotope; Isotope analysis; Disease; Chemistry; Biology; Geology; Geography; Ecology; Medicine; Internal medicine; Archaeology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007843951,0.0001013715,0.0001053345,0.00008117904,0.0006710739,0.00007761706,0.00009034775,0.0000252698,0.0005219711],"category_scores_gemma":[0.00007842271,0.00006867069,0.00003590926,0.00004988898,0.0008249263,0.0004551096,0.00003910024,0.00007769001,0.00003908692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000817723,"about_ca_system_score_gemma":0.00002107994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005258027,"about_ca_topic_score_gemma":0.00282905,"domain_scores_codex":[0.9992764,0.0001192666,0.0002359792,0.0001485371,0.00010874,0.0001110689],"domain_scores_gemma":[0.99938,0.0001504709,0.00008828216,0.0001733876,0.0001021774,0.0001057192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006442409,0.00005228575,0.7224395,0.00003037639,0.0000113054,0.000001257654,0.02340767,0.000007271884,0.0002843555,0.2530856,0.0005799413,0.00009399782],"study_design_scores_gemma":[0.0002534783,0.00003174258,0.963912,0.00004606345,0.00005903298,4.384052e-7,0.0005572235,0.0009329852,0.00003284389,0.03335786,0.0007184758,0.00009785383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942886,0.0006609673,0.0001399155,0.001529985,0.0001381337,0.0004725335,0.00001854453,0.00005318949,0.002698164],"genre_scores_gemma":[0.9969665,0.00001108177,0.0003976813,0.0003306039,0.000112706,0.0001255602,0.00009345287,0.000006763824,0.001955616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2414725,"threshold_uncertainty_score":0.5715218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0653231095327404,"score_gpt":0.2973168875279049,"score_spread":0.2319937779951645,"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."}}