{"id":"W4401039433","doi":"10.1177/08465371241262175","title":"Developmental Curves of the Paediatric Brain Using FLAIR MRI Texture Biomarkers","year":2024,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Hospital for Sick Children; University of Toronto; Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Fluid-attenuated inversion recovery; Texture (cosmology); Magnetic resonance imaging; Radiology; Artificial intelligence; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003471583,0.000678431,0.0003882981,0.003744124,0.0002865395,0.001503851,0.0007368044,0.0005054281,0.001157191],"category_scores_gemma":[0.01405683,0.000268205,0.0005549658,0.001933635,0.0005802648,0.001036639,0.000764418,0.0004690201,0.0006061075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000641248,"about_ca_system_score_gemma":0.0007317492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005763259,"about_ca_topic_score_gemma":0.006532104,"domain_scores_codex":[0.9984701,0.0002692429,0.0002231765,0.000416028,0.0005246217,0.00009675287],"domain_scores_gemma":[0.9929672,0.001172531,0.002886355,0.0007415354,0.001981969,0.0002503092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004978247,0.00004652522,0.8618807,0.000544865,0.0003060058,0.0006888162,0.0007645909,0.005507609,0.008742043,0.001390711,0.003576478,0.1160537],"study_design_scores_gemma":[0.00001209092,0.0002168674,0.9661394,0.0003276074,0.0001280102,0.004050689,0.0005436161,0.008557345,0.00848072,0.001799939,0.009685623,0.0000581098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187152,0.00562129,0.0532587,0.0003284496,0.00008903557,0.0001926307,0.01547777,0.0009359683,0.005380897],"genre_scores_gemma":[0.9557132,0.001985771,0.02980669,0.00008668833,0.00003881592,0.0002251999,0.01132796,0.0002529338,0.0005627782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005763259,"threshold_uncertainty_score":0.01835972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389075396648743,"score_gpt":0.2455898946338347,"score_spread":0.2316991406673473,"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."}}