{"id":"W3216589638","doi":"10.1007/978-3-030-85292-4_21","title":"Foundations of Lesion Detection Using Machine Learning in Clinical Neuroimaging","year":2021,"lang":"en","type":"article","venue":"Acta neurochirurgica. Supplementum","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"","keywords":"Lesion; Neuroimaging; Neuroradiology; Machine learning; Artificial intelligence; Computer science; Medicine; Neurology; Neuroscience; Psychology; Pathology","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":[0.008139924,0.0007030335,0.001208373,0.0024862,0.0007527686,0.005127345,0.002191675,0.00233113,0.003477923],"category_scores_gemma":[0.03123626,0.001281077,0.001152311,0.001171654,0.005150023,0.005808373,0.002770489,0.003812224,0.0006762696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224506,"about_ca_system_score_gemma":0.00221155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003169572,"about_ca_topic_score_gemma":0.002108087,"domain_scores_codex":[0.9969308,0.001469807,0.0002272578,0.0006580583,0.000569028,0.0001451176],"domain_scores_gemma":[0.935926,0.05562661,0.001560195,0.003112477,0.003126878,0.0006478497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007111485,0.0001616364,0.004658488,0.0003474828,0.0001566413,0.0002494057,0.0001384645,0.05068635,0.0007218389,0.833598,0.00350288,0.1057077],"study_design_scores_gemma":[0.00001172544,0.00002693551,0.001075831,0.0001256361,0.00001897352,0.00008699973,0.0000209884,0.1841825,0.0003423987,0.8114583,0.002627592,0.00002219385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02115381,0.01839427,0.9200909,0.01982037,0.0004347797,0.00009817403,0.0003202847,0.0001960307,0.01949141],"genre_scores_gemma":[0.6276687,0.01731335,0.343282,0.001581668,0.004086277,0.0002701303,0.0003977026,0.0001022451,0.005297909],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008139924,"threshold_uncertainty_score":0.04304856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551451609715959,"score_gpt":0.3543353694269238,"score_spread":0.2991902084553279,"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."}}