{"id":"W2177987001","doi":"10.1126/science.aad7925","title":"The indispensable genome","year":2015,"lang":"en","type":"letter","venue":"Science","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Genome; Computational biology; Biology; Genetics; Gene","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":[0.001051439,0.0004735416,0.0004572294,0.0003336231,0.001153799,0.00110114,0.0006553312,0.006265067,0.004718087],"category_scores_gemma":[0.00455141,0.0002660494,0.0003106227,0.0002038431,0.002810652,0.001446711,0.001556417,0.01017688,0.004217638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925008,"about_ca_system_score_gemma":0.001118559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006941728,"about_ca_topic_score_gemma":0.001311666,"domain_scores_codex":[0.9993947,0.0001583657,0.00004163181,0.0001397186,0.0001703872,0.00009531906],"domain_scores_gemma":[0.998194,0.0009440602,0.0001240415,0.0002068838,0.0001598395,0.0003711716],"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":[0.0003109879,0.00002532347,0.0007585076,0.0001971783,0.00002535131,0.003339756,0.0001700592,0.0001766553,0.007768436,0.1037135,0.8024104,0.08110376],"study_design_scores_gemma":[0.00006751988,0.00005809198,0.0009644334,0.00008811798,0.00001262544,0.003824321,0.00006106502,0.0001376087,0.002522366,0.04379106,0.9484547,0.00001806963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006795056,0.04188411,0.00433127,0.8817053,0.03282505,0.00003594215,0.00090365,0.0002701383,0.03124946],"genre_scores_gemma":[0.1208239,0.03276226,0.004263013,0.7384641,0.05650742,0.0002366989,0.001320688,0.0001747003,0.04544718],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006265067,"threshold_uncertainty_score":0.01578361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243629385332131,"score_gpt":0.2356800964412977,"score_spread":0.2232438025879764,"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."}}