{"id":"W4291209286","doi":"10.1002/epi4.12643","title":"A companion to the preclinical common data elements and case report forms for in vivo rodent neuroimaging: A report of the <scp>TASK3‐WG3</scp> Neuroimaging Working Group of the <scp>ILAE</scp>/<scp>AES</scp> Joint Translational Task Force","year":2022,"lang":"en","type":"article","venue":"Epilepsia Open","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Epilepsy Society; Citizens United for Research in Epilepsy; American Epilepsy Society","keywords":"Neuroimaging; Epilepsy; Medicine; Modalities; Standardization; Neuroscience; Computer science; Psychology","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":[0.03768473,0.001133157,0.001270979,0.008369013,0.0014213,0.002824933,0.003129242,0.003683099,0.07603179],"category_scores_gemma":[0.1203049,0.001176622,0.00156478,0.003657137,0.001645363,0.00401873,0.004270257,0.003489129,0.04259321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206154,"about_ca_system_score_gemma":0.008287952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759437,"about_ca_topic_score_gemma":0.00536153,"domain_scores_codex":[0.9779585,0.008741068,0.006641969,0.001091349,0.00485446,0.0007125816],"domain_scores_gemma":[0.8481514,0.0698145,0.01372606,0.02799146,0.03515029,0.005166348],"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":[0.0004242554,0.0003015822,0.002220324,0.001691133,0.00005080435,0.00146746,0.0003490009,0.000360248,0.002570971,0.004667724,0.8804885,0.105408],"study_design_scores_gemma":[0.0001681193,0.0002002969,0.004008225,0.001663468,0.00004866723,0.004601012,0.0003531227,0.0005471032,0.002913162,0.003881084,0.9815258,0.00009000261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02451162,0.009889074,0.3481013,0.05556667,0.02407097,0.06616607,0.32817,0.01478427,0.1287401],"genre_scores_gemma":[0.04738128,0.01354979,0.4700344,0.02952679,0.007263578,0.07477817,0.234919,0.007530944,0.1150161],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07603179,"threshold_uncertainty_score":0.2543517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1567013646630503,"score_gpt":0.3955918420265925,"score_spread":0.2388904773635423,"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."}}