{"id":"W4388210976","doi":"10.55458/neurolibre.00019","title":"Quantitative T1 MRI","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Montreal Heart Institute","funders":"Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Réseau en Bio-Imagerie du Quebec","keywords":"Computer science","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":[0.001110745,0.001401044,0.000464096,0.001854597,0.0006190758,0.002196496,0.001059114,0.001738464,0.02872028],"category_scores_gemma":[0.002640466,0.0007150437,0.0004048038,0.001226195,0.0005986206,0.002208943,0.0008701883,0.0009076616,0.008697157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004070173,"about_ca_system_score_gemma":0.0005484322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006611818,"about_ca_topic_score_gemma":0.0007462107,"domain_scores_codex":[0.9995922,0.00009014927,0.0000236208,0.0001323961,0.0001254132,0.00003625686],"domain_scores_gemma":[0.9991798,0.0002228928,0.00007805811,0.0002188987,0.0002527412,0.00004760089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009014136,0.0001604332,0.00303892,0.002503315,0.0002400167,0.0006608649,0.0003229521,0.009073601,0.5897035,0.0527419,0.03395055,0.3067025],"study_design_scores_gemma":[0.0001753328,0.000494056,0.01290148,0.0004291938,0.0005492294,0.011415,0.0003395484,0.07555144,0.5973814,0.0682629,0.2322634,0.0002371409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04446401,0.008412116,0.8466294,0.001352176,0.0006503393,0.0002503181,0.0045847,0.006605205,0.08705179],"genre_scores_gemma":[0.4889311,0.005912574,0.4124385,0.001126567,0.0008504972,0.000385947,0.007554736,0.006618845,0.07618131],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02872028,"threshold_uncertainty_score":0.09607893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453754131452466,"score_gpt":0.4571642031541863,"score_spread":0.3117887900089397,"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."}}