{"id":"W1622362870","doi":"","title":"The Canadian Geo-location Endeavour Using Isotopes and Trace Elements in Hair","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Isotope; Physical geography; Stable isotope ratio; Environmental 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":[0.000139316,0.00003845503,0.0000534044,0.00002935509,0.0002116438,0.00001804732,0.00002206155,0.00002917572,0.00003064597],"category_scores_gemma":[0.00006288422,0.00002765223,0.000009018927,0.00006421977,0.00003362242,0.00002448578,0.000009562354,0.00010351,0.00000368438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000442921,"about_ca_system_score_gemma":0.00007287461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06391121,"about_ca_topic_score_gemma":0.6286663,"domain_scores_codex":[0.9996399,0.000006092193,0.000080497,0.00007031865,0.00007788448,0.000125314],"domain_scores_gemma":[0.999793,0.00002248095,0.00001529977,0.00006097261,0.00004112548,0.0000671395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002566062,0.00004274454,0.9840059,0.00002163961,0.00001873611,0.00001394681,0.0001880122,0.000001780706,0.001704475,0.002871096,0.003074903,0.008031125],"study_design_scores_gemma":[0.0005015814,0.00002344116,0.8418334,0.00002553366,0.000007936467,0.00000784016,0.0002186295,0.00009908557,0.0001058017,0.0006492226,0.1564868,0.00004075358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888416,0.0008576246,0.000001956665,0.007289991,0.0001353267,0.0001644299,0.000004380804,0.00000496348,0.002699734],"genre_scores_gemma":[0.9988561,0.00006351519,0.0003561571,0.0003363857,0.0001316072,0.000008275588,0.000003405856,0.000003776361,0.000240794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5647551,"threshold_uncertainty_score":0.9423223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914123716570874,"score_gpt":0.2814077484582975,"score_spread":0.2622665112925888,"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."}}