{"id":"W2077227072","doi":"10.1136/pmj.79.928.65","title":"Clinical challenges posed by new biotechnology","year":2003,"lang":"en","type":"editorial","venue":"Postgraduate Medical Journal","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Genomics; Genome; Nutrigenomics; Human genome; Identity (music); Data science; Genetics; Computational biology; Gene; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001390485,0.0005519406,0.0007501643,0.0001416349,0.0001741066,0.00008196724,0.001063561,0.004202565,0.0002726503],"category_scores_gemma":[0.007326608,0.00049865,0.000586141,0.00008989879,0.0005034701,0.000004398767,0.000211872,0.002390675,0.00008260809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004411727,"about_ca_system_score_gemma":0.002836661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001705958,"about_ca_topic_score_gemma":0.00003293834,"domain_scores_codex":[0.9950945,0.0005615223,0.001173074,0.0008946179,0.001510575,0.0007657569],"domain_scores_gemma":[0.9964339,0.0001692408,0.0005019957,0.0006698252,0.0004031167,0.001821905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002422089,0.0003847566,0.00003042556,0.00004880802,0.0002643891,0.0001472999,0.000007800248,8.334606e-8,0.0009079453,0.00001389043,0.9625578,0.03539459],"study_design_scores_gemma":[0.003517994,0.001136983,0.00002177056,0.0001417473,0.0001639826,0.000222906,0.00002688501,0.000001738888,0.001394077,0.001001815,0.9918284,0.0005416307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0024044,0.1253992,0.001185307,0.01840368,0.8510572,0.0002780278,0.0003166756,0.0000557932,0.0008997585],"genre_scores_gemma":[0.0004290085,0.3157144,0.0005591257,0.000889011,0.6790923,0.000006489047,0.001095255,0.0001030363,0.002111409],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1903152,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771931209203249,"score_gpt":0.3174543615794329,"score_spread":0.2997350494874004,"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."}}