{"id":"W3001239924","doi":"10.29173/hsi91","title":"Carbohydrate conundrum: Why Canadians cannot fit into their skinny genes","year":2012,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene; Genetics; Genealogy; Biology; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005556709,0.0001713279,0.0001513875,0.0001230854,0.0005535458,0.00005438914,0.0003756809,0.00008697461,0.00002294794],"category_scores_gemma":[0.00004124617,0.0001630257,0.00005495602,0.0003262801,0.0009118149,0.00001953226,0.0001042894,0.00007158455,0.00001693719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163364,"about_ca_system_score_gemma":0.001864279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006120034,"about_ca_topic_score_gemma":0.004678496,"domain_scores_codex":[0.9981268,0.00004761697,0.0002576987,0.0004238708,0.0002331907,0.0009108474],"domain_scores_gemma":[0.9981637,0.0000065504,0.00009705174,0.0004957355,0.0001624287,0.00107452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001499051,0.0007058458,0.1882567,0.0004859787,0.00005237799,0.00001159727,0.01277492,0.0002098334,0.6348903,0.000865586,0.1153578,0.04623915],"study_design_scores_gemma":[0.001226572,0.0007213707,0.07507393,0.00007852013,0.000023455,0.00005970099,0.005970574,0.0002784012,0.1828219,0.0007336212,0.7318273,0.001184659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848589,0.01035007,0.0002858253,0.002331609,0.001547584,0.0002554532,0.00004530519,0.00001904746,0.0003062242],"genre_scores_gemma":[0.9890458,0.0007572434,0.0004096914,0.008272547,0.001286572,0.00003588477,0.00005220716,0.00001794506,0.0001221321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6164695,"threshold_uncertainty_score":0.9251701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04439153917409679,"score_gpt":0.3302971730218727,"score_spread":0.2859056338477759,"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."}}