{"id":"W3214190364","doi":"10.5334/tohm.665","title":"TETRAS Spirals and Handwriting Samples: Determination of Optimal Scoring Examples","year":2021,"lang":"en","type":"article","venue":"Tremor and Other Hyperkinetic Movements","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Handwriting; Variance (accounting); Statistics; Computer science; Value (mathematics); Psychology; Audiology; Natural language processing; Medicine; Artificial intelligence; Mathematics; Accounting","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":[],"consensus_categories":[],"category_scores_codex":[0.00004470934,0.0001070407,0.0002158255,0.00003921967,0.00004069206,0.00001523836,0.00002002334,0.00003444484,0.0001646658],"category_scores_gemma":[0.00004162375,0.00008528921,0.00003069657,0.00006062145,0.00005415844,0.00002502618,0.00003501186,0.00004080314,0.000001192922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004966183,"about_ca_system_score_gemma":0.000008474696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000561052,"about_ca_topic_score_gemma":0.000008464,"domain_scores_codex":[0.9993197,0.00002024269,0.0001762432,0.0002252038,0.0001211461,0.000137504],"domain_scores_gemma":[0.9997103,0.00004614185,0.00004704596,0.0001042021,0.00002799644,0.0000643142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000847711,0.0004183925,0.7627696,0.0002185668,0.00007472223,0.0001180505,0.0002719463,0.00000122103,0.07635976,0.0001516047,0.00001251723,0.1595188],"study_design_scores_gemma":[0.007149032,0.0009716508,0.9394469,0.0003403017,0.0002278601,0.00007332455,0.0005906625,0.0005020534,0.04769661,0.001179467,0.001590381,0.0002317777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964113,0.001200465,0.0002693994,0.00007747614,0.00002063189,0.0001540505,0.00001075713,0.00001281121,0.00184317],"genre_scores_gemma":[0.9938729,0.0001398998,0.004549886,0.0009774552,0.00002534236,0.000006913142,0.000006028231,0.00001373129,0.0004078083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1766773,"threshold_uncertainty_score":0.3477993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560146570297674,"score_gpt":0.2910681257292404,"score_spread":0.235053468699473,"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."}}