{"id":"W4200430233","doi":"10.1109/embc46164.2021.9630022","title":"Impairment Screening Utilizing Biophysical Measurements and Machine Learning Algorithms","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sobriety; Machine learning; Suite; Computer science; Artificial intelligence; Scrutiny; Set (abstract data type); Test (biology); Algorithm; Computer security; Psychology; Psychiatry","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":[0.0009615321,0.001110323,0.0009540365,0.002585103,0.0003299189,0.001017732,0.0008322301,0.0008228417,0.001097939],"category_scores_gemma":[0.003702778,0.0002722527,0.0006611144,0.001387993,0.0003646048,0.0007197844,0.0007918737,0.0007344906,0.0008976947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972564,"about_ca_system_score_gemma":0.0007797408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003813767,"about_ca_topic_score_gemma":0.003966494,"domain_scores_codex":[0.9991997,0.0001640003,0.00007250955,0.0002589631,0.0002299607,0.00007486728],"domain_scores_gemma":[0.998728,0.0004241584,0.0002175072,0.0001585404,0.0004060787,0.00006570531],"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":[0.0002901945,0.001035941,0.06814545,0.0001597816,0.00022928,0.0002853436,0.0001310574,0.1112065,0.03033856,0.00159456,0.003617224,0.7829661],"study_design_scores_gemma":[0.0000136344,0.0001618308,0.02840121,0.00002589966,0.0000282683,0.0001343933,0.00006273439,0.9606189,0.007412994,0.00224224,0.0008650529,0.00003291757],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1842956,0.0004201979,0.8084152,0.0002652608,0.00009037704,0.0003088483,0.0008446274,0.003058529,0.002301338],"genre_scores_gemma":[0.7420491,0.0002732371,0.2538663,0.0001133993,0.00008036266,0.0003271954,0.001191487,0.00006178619,0.002037195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003813767,"threshold_uncertainty_score":0.007583141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07038623191291392,"score_gpt":0.2937785537842357,"score_spread":0.2233923218713217,"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."}}