{"id":"W1555632581","doi":"10.1002/9780470015902.a0005376.pub2","title":"Cystic Fibrosis Gene: Identification","year":2018,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Genetics; Biology; Gene; Chromosome; Cystic fibrosis; Inheritance (genetic algorithm); Genome; Human genome; Gene mapping; Computational biology","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":[0.0002352419,0.0004929052,0.000403994,0.002130087,0.0004280889,0.0009328648,0.0002756965,0.0007233653,0.01290049],"category_scores_gemma":[0.0006969884,0.00008106104,0.0003337312,0.001384429,0.0002176409,0.000326456,0.0004210289,0.000511149,0.0138062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000574338,"about_ca_system_score_gemma":0.0008905072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001883766,"about_ca_topic_score_gemma":0.001491512,"domain_scores_codex":[0.9998246,0.00001711526,0.00001793676,0.00004490748,0.00007329864,0.00002220094],"domain_scores_gemma":[0.9997357,0.00004845825,0.00003600094,0.00001699478,0.0001043337,0.00005861223],"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":[0.0004839973,0.0002182151,0.02654021,0.001427095,0.00006253802,0.009709986,0.0002776087,0.0003785586,0.08032414,0.01733333,0.2359203,0.627324],"study_design_scores_gemma":[0.00004605751,0.00006792197,0.03077194,0.0005408428,0.00005758122,0.01892402,0.0001262073,0.0007454596,0.01856629,0.003385348,0.9267381,0.00003024514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1954287,0.1451287,0.06334378,0.03219037,0.009185971,0.001590871,0.11178,0.004709136,0.4366424],"genre_scores_gemma":[0.3983532,0.06629201,0.09089417,0.006439891,0.00276255,0.0007010403,0.1392208,0.0005334744,0.294803],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01290049,"threshold_uncertainty_score":0.0431565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788168616694568,"score_gpt":0.3192940472739801,"score_spread":0.3014123611070345,"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."}}