{"id":"W2603528651","doi":"","title":"Genetic Determinants of Cilantro Preference","year":2011,"lang":"en","type":"article","venue":"TSpace","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Toronto","funders":"","keywords":"Preference; Food science; Biotechnology; Mathematics; Biology; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002790728,0.0001894311,0.0001447452,0.000454624,0.0002515168,0.0003688633,0.0001566877,0.0002630848,0.002860771],"category_scores_gemma":[0.0008062442,0.0001129545,0.0001825146,0.0004062409,0.000237522,0.000103496,0.0001967137,0.0002188378,0.0001635997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534105,"about_ca_system_score_gemma":0.0001566517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532151,"about_ca_topic_score_gemma":0.003214668,"domain_scores_codex":[0.9997571,0.00007120818,0.00002007167,0.00006255531,0.00004043862,0.00004864626],"domain_scores_gemma":[0.9994296,0.0001863302,0.000187966,0.00003751987,0.00004232714,0.0001162039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001296962,0.0001971951,0.9497752,0.00002719026,0.0001412434,0.000800287,0.0005825684,0.00009941243,0.04072006,0.0003080395,0.0001681571,0.005883827],"study_design_scores_gemma":[0.00001046311,0.0001756492,0.9975622,0.000006312962,0.00003696352,0.0005707005,0.0002259512,0.0002416211,0.0008760907,0.00008976008,0.000198971,0.000005343071],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996507,0.0000330494,0.00003451166,0.00001503927,0.000001399746,0.00000147884,0.00002738645,7.000008e-7,0.0002356909],"genre_scores_gemma":[0.9995713,0.00003442769,0.00007286092,0.000008774295,0.000002420825,0.000001667623,0.00004113388,0.000001220634,0.0002662306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002860771,"threshold_uncertainty_score":0.009570301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08044481415210537,"score_gpt":0.3129058543213163,"score_spread":0.232461040169211,"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."}}