{"id":"W204694434","doi":"10.15173/m.v1i1.585","title":"The Beneficial Effects of DNA Crunching: The Human Genome Project","year":2012,"lang":"en","type":"article","venue":"The Meducator","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Human genome; Genome; Computational biology; Medicine; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002466125,0.0003181845,0.0003068899,0.0009860534,0.0008724428,0.0006198011,0.0003638101,0.0008779311,0.003018011],"category_scores_gemma":[0.006867969,0.0001334335,0.0002324861,0.0009885535,0.0009302713,0.0004065694,0.001392104,0.001278929,0.0002178849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061296,"about_ca_system_score_gemma":0.002813281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859982,"about_ca_topic_score_gemma":0.02583757,"domain_scores_codex":[0.9990047,0.0005921008,0.00002832419,0.00009219547,0.0001673193,0.0001154488],"domain_scores_gemma":[0.9974866,0.0009321398,0.0002358337,0.000241719,0.0002687915,0.0008349621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00480763,0.0002477091,0.07998185,0.0009651295,0.0004474478,0.001171815,0.00208087,0.001211209,0.01739654,0.03041275,0.1461991,0.7150779],"study_design_scores_gemma":[0.0007322293,0.000833719,0.4129785,0.001355878,0.0007071262,0.001480661,0.001610377,0.0005043012,0.008829133,0.03204348,0.538788,0.0001366415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.4009203,0.1186246,0.003444592,0.4057917,0.005866978,0.0001730656,0.02392351,0.0003805311,0.04087474],"genre_scores_gemma":[0.8771388,0.05958124,0.01433265,0.02221362,0.002373553,0.0001866045,0.006412616,0.0001151256,0.0176459],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01859982,"threshold_uncertainty_score":0.03698307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100032805410169,"score_gpt":0.2757316327116932,"score_spread":0.2647313046575915,"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."}}