{"id":"W3027864372","doi":"10.1016/j.cell.2020.04.034","title":"Identification of ALK in Thinness","year":2020,"lang":"en","type":"article","venue":"Cell","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Hospital for Sick Children; University of Toronto","funders":"Horizon 2020; Österreichischen Akademie der Wissenschaften; Hjärnfonden; Natural Science Foundation of Guangdong Province; Instituto Mexicano del Petróleo; Boehringer Ingelheim; Austrian Science Fund; Vetenskapsrådet; Seventh Framework Programme; Eesti Teadusagentuur; European Research Council; Österreichische Forschungsförderungsgesellschaft; Novo Nordisk Fonden; National Natural Science Foundation of China; European Regional Development Fund; European Commission","keywords":"Biology; Gene knockdown; Genetics; Population; Single-nucleotide polymorphism; Endocrinology; Internal medicine; Gene; Cancer research; Genotype","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":[],"consensus_categories":[],"category_scores_codex":[0.00004750063,0.00002574302,0.00009060571,0.00001869377,0.000003614989,0.000001122709,0.00002868189,0.00002247866,0.0000689505],"category_scores_gemma":[0.00002647668,0.0000230822,0.00001599804,0.00009540523,0.00001049669,0.00002065481,0.00000779821,0.00004369228,0.00009574895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002963758,"about_ca_system_score_gemma":0.00001699204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009078371,"about_ca_topic_score_gemma":6.481728e-7,"domain_scores_codex":[0.9997087,0.000007200896,0.0001184378,0.00006491769,0.00005678615,0.00004402184],"domain_scores_gemma":[0.9998308,0.000006115346,0.00003194806,0.00007684538,0.00001885797,0.00003546146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002511,0.00005254289,0.001587013,0.000123889,0.000003137563,0.00001165602,0.002249261,0.00000320581,0.9923916,0.000171316,0.001274797,0.002106485],"study_design_scores_gemma":[0.0006447532,0.00002744609,0.02427097,0.00001221986,0.0000307788,0.000001222906,0.0001895597,0.0001540787,0.9443774,0.00008707218,0.03017123,0.00003323166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891853,0.001105745,0.0002782786,0.001264011,0.00007067779,0.0001099862,0.000001200394,0.00001245967,0.007972308],"genre_scores_gemma":[0.9979883,0.00004396284,0.00009231746,0.0003306678,0.00006699288,0.000001623157,0.000004831739,0.000004339649,0.001466985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04801415,"threshold_uncertainty_score":0.1230691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152741635487414,"score_gpt":0.2691334241667946,"score_spread":0.2476060078119204,"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."}}