{"id":"W4380371891","doi":"10.3389/fpsyg.2023.1178753","title":"Functional near-infrared spectroscopy of medical students answering various item types","year":2023,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Brain and Cognition Discovery Foundation; University Health Network","funders":"Quỹ Đổi mới sáng tạo Vingroup; Tập đoàn Vingroup - Công ty CP","keywords":"Functional near-infrared spectroscopy; Psychology; Hemoglobin; Repeated measures design; Prefrontal cortex; Clinical psychology; Cognition; Audiology; Neuroscience; Internal medicine; Medicine; Statistics","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":[0.0004980725,0.0003045299,0.0002269211,0.0004036218,0.0001617975,0.000406601,0.0001323446,0.0004076164,0.001715713],"category_scores_gemma":[0.003939628,0.0000789813,0.0001292831,0.0002196315,0.0001819416,0.0002030987,0.0003232247,0.0002924142,0.000384842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104869,"about_ca_system_score_gemma":0.000118287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005594333,"about_ca_topic_score_gemma":0.001052647,"domain_scores_codex":[0.9996778,0.00008622149,0.00002415372,0.00007692196,0.00006962958,0.00006528207],"domain_scores_gemma":[0.998646,0.0004321292,0.0003476626,0.00004975505,0.0003341026,0.0001904899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002259703,0.001047989,0.8100733,0.0002085037,0.0001328772,0.0003550398,0.004023818,0.0005490028,0.09634912,0.00008977661,0.0007991331,0.08411186],"study_design_scores_gemma":[0.00001386465,0.001160201,0.9893105,0.00001068427,0.00002354569,0.0003060781,0.001125636,0.0008747097,0.00673422,0.00009284364,0.000333421,0.00001428422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991521,0.00004225369,0.0003842996,0.00002164365,0.000003044416,0.00001171392,0.00006149487,0.000006522711,0.0003168486],"genre_scores_gemma":[0.9988517,0.00004953641,0.000537955,0.00003936357,0.000005443684,0.00002230159,0.00008893972,0.000002535017,0.0004022562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001715713,"threshold_uncertainty_score":0.005739629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756774209681229,"score_gpt":0.3724228765553609,"score_spread":0.3548551344585486,"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."}}