{"id":"W3083554083","doi":"10.21105/joss.02343","title":"qMRLab: Quantitative MRI analysis, under one umbrella","year":2020,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et Services Sociaux de Chaudière-Appalache; University of Calgary; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; McGill University; Université de Montréal; Polytechnique Montréal; Montreal Neurological Institute and Hospital; Montreal Heart Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Canada First Research Excellence Fund; Réseau en Bio-Imagerie du Quebec","keywords":"Medicine; 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":[0.01494297,0.003799299,0.002179746,0.006258946,0.001325413,0.007957013,0.00433253,0.001955198,0.04210886],"category_scores_gemma":[0.0404104,0.002028641,0.001914247,0.003241497,0.002583682,0.005079779,0.007740352,0.00293149,0.02803596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008205942,"about_ca_system_score_gemma":0.003520005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001548369,"about_ca_topic_score_gemma":0.001527865,"domain_scores_codex":[0.9894227,0.002548983,0.001635275,0.001895345,0.004065128,0.0004326307],"domain_scores_gemma":[0.9852009,0.005838307,0.002261137,0.00271772,0.003329333,0.0006525869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002125938,0.0002853059,0.007664674,0.003530449,0.0007097144,0.0004668337,0.001095238,0.004315579,0.03514703,0.05247188,0.2407419,0.6514455],"study_design_scores_gemma":[0.0005017278,0.0006636255,0.02023123,0.002339154,0.0007578852,0.002958666,0.0003875559,0.07061742,0.05696298,0.1178297,0.7260914,0.0006585591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003976542,0.002259497,0.831142,0.001515885,0.001000467,0.0007448784,0.01065215,0.132218,0.01649066],"genre_scores_gemma":[0.04225615,0.00191599,0.8798871,0.002408546,0.0008998046,0.0040447,0.01400602,0.03973173,0.01484991],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04210886,"threshold_uncertainty_score":0.1408682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1990079178057547,"score_gpt":0.4208280736313635,"score_spread":0.2218201558256089,"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."}}