{"id":"W2094456586","doi":"10.1126/science.1198039","title":"Deflating the Genomic Bubble","year":2011,"lang":"en","type":"article","venue":"Science","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bubble; Computer science; Computational biology; Biology; Operating system","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":[0.01869939,0.0005736513,0.0008309808,0.001479199,0.003652075,0.008490825,0.001255453,0.008455464,0.02245037],"category_scores_gemma":[0.06424107,0.0003225303,0.0004381586,0.0009314637,0.02582769,0.0170076,0.005440934,0.01579642,0.005549778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004093317,"about_ca_system_score_gemma":0.00590453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291468,"about_ca_topic_score_gemma":0.003181724,"domain_scores_codex":[0.9933809,0.003216142,0.0001615343,0.00071972,0.001994237,0.0005274802],"domain_scores_gemma":[0.9603345,0.02668398,0.001728703,0.003333738,0.004437745,0.003481397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001299924,0.00003481385,0.0007062071,0.0001087844,0.00002057397,0.000174292,0.001455565,0.0004019971,0.0007242848,0.7975014,0.1631417,0.03560049],"study_design_scores_gemma":[0.00003429585,0.00004267687,0.0005344106,0.0002177599,0.000009846714,0.0001506908,0.001326986,0.0004489346,0.0004443297,0.5756801,0.4210798,0.00003016525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005197544,0.01293958,0.01126839,0.9101251,0.009134784,0.00001493329,0.0002128939,0.0002547567,0.0508519],"genre_scores_gemma":[0.3167057,0.0179656,0.01146179,0.5934178,0.02138252,0.0001624318,0.0002837674,0.000723898,0.03789655],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02245037,"threshold_uncertainty_score":0.09889305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213473199021073,"score_gpt":0.2403856728576961,"score_spread":0.2190383529555888,"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."}}