{"id":"W2292771713","doi":"","title":"Digital Clock Drawing: Differentiating “Thinking” versus “Doing” in Younger and Older Adults with Depression","year":2014,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Psychomotor learning; Psychology; Cognition; Affect (linguistics); Depression (economics); Cognitive decline; Cognitive psychology; Developmental psychology; Psychiatry; Medicine; Communication; Dementia","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009834248,0.0003443345,0.0004614914,0.000591423,0.0002655794,0.00008064037,0.000404588,0.0002767358,0.000008503232],"category_scores_gemma":[0.0009240588,0.0002913045,0.00005345437,0.0007882892,0.0007630655,0.0005975749,0.000265871,0.000413913,0.000007077477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004192619,"about_ca_system_score_gemma":0.00002783828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002229264,"about_ca_topic_score_gemma":0.00007579701,"domain_scores_codex":[0.9978836,0.0000331165,0.000415509,0.0007641599,0.0004551108,0.0004485733],"domain_scores_gemma":[0.9989206,0.0002115452,0.0002464979,0.000480956,0.00007052127,0.00006991141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003132984,0.001006817,0.5753996,0.0005772835,0.0001562307,0.0001611427,0.004503084,0.001106248,0.1037154,0.03477993,0.0001237512,0.2753376],"study_design_scores_gemma":[0.06197621,0.003025653,0.7975636,0.005115764,0.0003726272,0.0001693919,0.001498431,0.00830546,0.07803094,0.003115209,0.03749272,0.003333967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904426,0.0002095733,0.002874334,0.001136725,0.0004318017,0.0004814052,0.00001739015,0.000377747,0.004028473],"genre_scores_gemma":[0.9955725,0.00002639011,0.004170291,0.0000602073,0.00003279751,0.00003825213,0.000003032858,0.00003470699,0.00006179304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2720036,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080576846171632,"score_gpt":0.2326818232567887,"score_spread":0.2218760547950724,"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."}}