{"id":"W1986926539","doi":"10.1002/hbm.21013","title":"A new tablet for writing and drawing during functional MRI","year":2010,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; University of Toronto; Baycrest Hospital","funders":"Heart and Stroke Foundation of Canada","keywords":"Touchscreen; Neuropsychology; Psychology; Functional magnetic resonance imaging; Cognitive psychology; Computer science; Neuroscience; Human–computer interaction; Cognition","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":[0.001268233,0.001406729,0.001065984,0.001293821,0.000340781,0.001071812,0.001589112,0.001356881,0.04013521],"category_scores_gemma":[0.004197508,0.0007408762,0.0009218213,0.0005845159,0.0003959209,0.001463126,0.00124497,0.0009575383,0.005751694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655516,"about_ca_system_score_gemma":0.0002855762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003192413,"about_ca_topic_score_gemma":0.0008966231,"domain_scores_codex":[0.999308,0.0001605407,0.0000960226,0.0001982507,0.0001778673,0.00005928929],"domain_scores_gemma":[0.9969335,0.001674117,0.0002090339,0.0005310868,0.0003361199,0.00031619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003108427,0.0006714183,0.003142178,0.00209151,0.0001885413,0.002663048,0.000452011,0.0007635544,0.342806,0.003349057,0.04360214,0.5971622],"study_design_scores_gemma":[0.003730122,0.01159901,0.08929124,0.001052884,0.00134335,0.03420202,0.0004057142,0.03895496,0.2385797,0.007376369,0.5723737,0.001090941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1149042,0.006308639,0.8000743,0.00360598,0.002017031,0.007003145,0.01044488,0.02561808,0.03002385],"genre_scores_gemma":[0.1561969,0.001716047,0.8045688,0.001512697,0.0006539341,0.005276696,0.002323771,0.001364478,0.02638672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04013521,"threshold_uncertainty_score":0.1342657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768052248867939,"score_gpt":0.2684586671717476,"score_spread":0.2207781446830682,"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."}}