{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002516325,0.0002912988,0.0003526691,0.0001369133,0.0002156183,0.0004419814,0.00007272117,0.0002138984,0.0001442529],"category_scores_gemma":[0.00001228399,0.0002211248,0.00009052101,0.0001739918,0.000184228,0.0003312918,0.0001235857,0.0002890983,0.00004094203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149054,"about_ca_system_score_gemma":0.00008555601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003413252,"about_ca_topic_score_gemma":0.00004773831,"domain_scores_codex":[0.9981339,0.00007315296,0.0004057256,0.0006246049,0.0003495175,0.0004131031],"domain_scores_gemma":[0.9992537,0.00002530332,0.00004342653,0.0002610952,0.00008335182,0.0003331021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002919464,0.0001045345,0.03616098,0.0003627181,0.0002381445,0.0001047402,0.001301503,0.00005024393,0.8514919,0.003931519,0.002967924,0.1029939],"study_design_scores_gemma":[0.002112614,0.001096042,0.88231,0.000521745,0.000244327,0.0002505532,0.00005518821,0.0921739,0.005980166,0.002356492,0.01212769,0.0007712899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812249,0.01308765,0.0005073011,0.004052201,0.0002605726,0.0004809003,0.00002242665,0.0001511441,0.0002128936],"genre_scores_gemma":[0.9874092,0.007490085,0.002878088,0.0004764186,0.0006681786,0.00004014633,0.00009490972,0.00006039423,0.0008825898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.846149,"threshold_uncertainty_score":0.9017208,"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."}}