{"id":"W7111194796","doi":"10.1162/imag.a.1081","title":"MOTUM: A system for Motion Online Tracking Under MRI","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Kinematics; Functional magnetic resonance imaging; Motion (physics); Motor control; Tracking (education); Neuroimaging; Movement (music); Task (project management); Dynamics (music)","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":[0.001139331,0.0007401952,0.0005296037,0.0005907416,0.0002834552,0.0006786624,0.001261709,0.001060487,0.005098369],"category_scores_gemma":[0.003043354,0.0005310572,0.0004377052,0.0002930502,0.0003813308,0.0009358133,0.00180129,0.0007007344,0.001271601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638217,"about_ca_system_score_gemma":0.0004514302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006041353,"about_ca_topic_score_gemma":0.0009343214,"domain_scores_codex":[0.9995893,0.00008262626,0.00003194251,0.0001229747,0.0001340379,0.00003916344],"domain_scores_gemma":[0.9993744,0.000262241,0.000112614,0.000108444,0.00007543687,0.00006684547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001448198,0.000113865,0.002158154,0.000866082,0.0001755136,0.0003598494,0.0003581304,0.002904789,0.7441978,0.003706853,0.01074464,0.2329661],"study_design_scores_gemma":[0.0005990621,0.003158524,0.02368824,0.0003670125,0.0004277145,0.00619338,0.0001584567,0.1328564,0.6495819,0.006416118,0.175982,0.0005712793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04575437,0.001352318,0.9267285,0.0002563713,0.0003399758,0.0004531353,0.001184947,0.02147582,0.002454502],"genre_scores_gemma":[0.2927031,0.0009296983,0.6955723,0.0007175332,0.0001592363,0.001505974,0.001591754,0.00201209,0.004808095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005098369,"threshold_uncertainty_score":0.01705575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05256742201688262,"score_gpt":0.3162042407249362,"score_spread":0.2636368187080536,"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."}}