{"id":"W4402303456","doi":"10.2139/ssrn.4939031","title":"Models to Identify Small Brain White Matter Hyperintensities Lesions","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperintensity; White matter; Medicine; Neuroscience; Psychology; Magnetic resonance imaging; Radiology","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":[0.0007626427,0.0009901847,0.000814589,0.0008078265,0.0002822458,0.001187226,0.001144522,0.001749755,0.002943515],"category_scores_gemma":[0.00262283,0.00038207,0.0009993417,0.0004475105,0.0003283453,0.0008321956,0.0005293452,0.001272412,0.001356063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008657632,"about_ca_system_score_gemma":0.0006854561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007946414,"about_ca_topic_score_gemma":0.00854148,"domain_scores_codex":[0.9998264,0.00003496103,0.000008072641,0.00006270712,0.00003384335,0.00003403236],"domain_scores_gemma":[0.9990948,0.000554975,0.00008845345,0.00005148238,0.0001661166,0.00004408479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002822953,0.0001245501,0.003951923,0.0001256543,0.0001506441,0.0001022978,0.00005658807,0.8685908,0.003870258,0.006975575,0.008889899,0.1068796],"study_design_scores_gemma":[0.000006381429,0.0000156777,0.0002798332,0.00000658416,0.00001342747,0.00001903545,0.000003727164,0.9960897,0.0003549484,0.002905545,0.0003018588,0.000003395068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1598689,0.002427076,0.8199621,0.002417904,0.0004699397,0.0002030089,0.002328469,0.003358023,0.008964468],"genre_scores_gemma":[0.9173784,0.0009633062,0.05836868,0.0005104063,0.0002785642,0.0003249353,0.002158174,0.0002753693,0.01974222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007946414,"threshold_uncertainty_score":0.0158003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0590227918612719,"score_gpt":0.2977760236849377,"score_spread":0.2387532318236658,"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."}}