{"id":"W6958550348","doi":"10.6084/m9.figshare.12606812.v1","title":"Additional file 1 of Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Table (database); Sensory system; Decision table; Contingency table; Cognition","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002362036,0.001113545,0.001051945,0.001361987,0.00101268,0.00126056,0.001739102,0.001091629,0.837161],"category_scores_gemma":[0.04008758,0.0004414919,0.000654662,0.001924852,0.0002999376,0.001407557,0.0008260337,0.001185987,0.1587278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009716581,"about_ca_system_score_gemma":0.001910764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00562556,"about_ca_topic_score_gemma":0.009548511,"domain_scores_codex":[0.9989582,0.0002225027,0.0001578362,0.0002036402,0.0003698601,0.00008799537],"domain_scores_gemma":[0.9632545,0.02697055,0.001499761,0.002364551,0.005419025,0.0004915716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000655645,0.0004540152,0.003254563,0.00159229,0.00004423028,0.00005690611,0.000111999,0.0004402963,0.0002211577,0.0006824179,0.9672177,0.02526877],"study_design_scores_gemma":[0.004751101,0.001797569,0.0723854,0.002993146,0.0002923316,0.0008075954,0.0009781799,0.003364346,0.002897729,0.0170043,0.8924451,0.0002832308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001066431,0.00003140309,0.001623044,0.000136718,0.00005390451,0.0005953828,0.9926139,0.0006739224,0.003205259],"genre_scores_gemma":[0.03523109,0.0002522269,0.01511021,0.0008812588,0.0001732595,0.01450548,0.8830067,0.002860529,0.04797923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837161,"threshold_uncertainty_score":0.2322701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09784289756996938,"score_gpt":0.3043308453005943,"score_spread":0.206487947730625,"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."}}