{"id":"W4404139865","doi":"10.1080/21678421.2024.2403299","title":"Theme 2 Genetics and Genomics","year":2024,"lang":"en","type":"article","venue":"Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; NIHR Oxford Biomedical Research Centre; China Scholarship Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Research Foundation; National Institute for Health and Care Research; ALS Society of Canada; Biogen; Motor Neurone Disease Association; Fondation Brain Canada; BrightFocus Foundation; American Heart Association; National Research Foundation of Korea; U.S. Department of Defense","keywords":"Genomics; Theme (computing); Genetics; Biology; Evolutionary biology; Computational biology; Genome; Computer science; World Wide Web; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00250087,0.0008083439,0.000696509,0.001421496,0.0009809691,0.003112909,0.00165157,0.004883194,0.04264306],"category_scores_gemma":[0.002919103,0.0003228385,0.0006551139,0.0008279119,0.001095223,0.002559997,0.004011522,0.003818758,0.01259176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223122,"about_ca_system_score_gemma":0.00298664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006639346,"about_ca_topic_score_gemma":0.00106847,"domain_scores_codex":[0.9989041,0.0002891103,0.00003794931,0.0002000569,0.000321596,0.0002471354],"domain_scores_gemma":[0.9985445,0.0002000253,0.00007913205,0.0001002788,0.000231333,0.000844866],"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":[0.0002173164,0.00007287716,0.0008344108,0.0006405223,0.00004477671,0.00036997,0.0003248663,0.0001894155,0.00490302,0.09739078,0.7130993,0.1819127],"study_design_scores_gemma":[0.00003925062,0.00006877592,0.0008972415,0.0002612333,0.00001826842,0.0007479626,0.0001579566,0.0001696533,0.0005132408,0.03521672,0.9618968,0.00001274687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01231928,0.1321985,0.03324588,0.3433067,0.139465,0.0002792766,0.002300566,0.001818988,0.3350658],"genre_scores_gemma":[0.08783859,0.0811348,0.01930876,0.1020043,0.1196884,0.0007828285,0.005896274,0.001243609,0.5821024],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9573569,"threshold_uncertainty_score":0.1426552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013461987414148,"score_gpt":0.2713428043684785,"score_spread":0.231208184494337,"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."}}