{"id":"W4404139730","doi":"10.1080/21678421.2024.2403305","title":"Theme 8 Clinical Imaging and Electrophysiology","year":2024,"lang":"en","type":"article","venue":"Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Canadian Institutes of Health Research; Agence Nationale de la Recherche; Assistance publique-Hôpitaux de Paris; Association pour la Recherche sur la Sclérose Latérale Amyotrophique et autres Maladies du Motoneurone; Fondation Brain Canada","keywords":"Theme (computing); Clinical electrophysiology; Electrophysiology; Neuroscience; Cognitive science; Psychology; Computer science; World Wide Web","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":[0.0001144225,0.0001300924,0.0002101636,0.00004397032,0.0001136932,0.00007539379,0.00002626889,0.00008085532,0.00002421833],"category_scores_gemma":[0.000006228595,0.00009747544,0.00005813857,0.00007350895,0.0001033404,0.0001733341,0.0000324026,0.0001639795,0.000006666316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000257211,"about_ca_system_score_gemma":0.00002301285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008752809,"about_ca_topic_score_gemma":0.00000883908,"domain_scores_codex":[0.9990907,0.00003139256,0.0002765315,0.0003632985,0.00007280567,0.0001653271],"domain_scores_gemma":[0.9996726,0.00001766196,0.00003491132,0.0001349193,0.00003443679,0.0001054837],"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":[0.0001571783,0.000110537,0.02452697,0.00007946749,0.00004652811,0.00003094795,0.0001767658,0.00001291093,0.6692669,0.03133701,0.004884461,0.2693703],"study_design_scores_gemma":[0.002357852,0.001674593,0.7535285,0.0005487134,0.0003695448,0.0003298908,0.00005930074,0.1554541,0.01101015,0.03578471,0.03792652,0.0009560502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692077,0.005288975,0.02057287,0.004234534,0.0001113285,0.0002675446,0.000007006078,0.000182795,0.0001272302],"genre_scores_gemma":[0.9827093,0.003783601,0.01205739,0.0006473804,0.0004527318,0.00004259825,0.00006749152,0.00002065203,0.0002188762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7290016,"threshold_uncertainty_score":0.3974933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361243675085565,"score_gpt":0.321490084151336,"score_spread":0.2853657166427794,"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."}}