{"id":"W4295765220","doi":"10.3390/data7090132","title":"Dataset of Psychological Scales and Physiological Signals Collected for Anxiety Assessment Using a Portable Device","year":2022,"lang":"en","type":"article","venue":"Data","topic":"Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Anxiety; CLIPS; Beck Anxiety Inventory; Psychology; Audiology; Beck Depression Inventory; Medicine; Computer science; Artificial intelligence; 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":[0.0008792376,0.001141274,0.0008886775,0.001538078,0.0004658543,0.0006511903,0.001064007,0.001231124,0.00346226],"category_scores_gemma":[0.002938848,0.0001908976,0.0007956792,0.001648524,0.0002622168,0.000349586,0.0009958275,0.0008385217,0.003992703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696342,"about_ca_system_score_gemma":0.0006128077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003420385,"about_ca_topic_score_gemma":0.007263145,"domain_scores_codex":[0.9991269,0.0001619279,0.0001222361,0.0001959915,0.0002987453,0.00009430555],"domain_scores_gemma":[0.9980124,0.0005074537,0.0002103467,0.0003970176,0.0007066968,0.0001660153],"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":[0.002629225,0.002924445,0.1337509,0.0053085,0.000832928,0.002721394,0.0007496409,0.008256225,0.03848048,0.001363948,0.5241244,0.2788578],"study_design_scores_gemma":[0.0006001869,0.00182607,0.6953045,0.0006588785,0.00037772,0.003064705,0.001276205,0.01882638,0.01660228,0.002661675,0.2584937,0.0003076822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1301751,0.001170081,0.01081204,0.0005728257,0.0004322897,0.001224156,0.848691,0.002213744,0.004708737],"genre_scores_gemma":[0.08384277,0.000388889,0.01008479,0.0002061474,0.0001101444,0.001962077,0.9013492,0.00006101288,0.001994961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00346226,"threshold_uncertainty_score":0.01158237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2868376409991922,"score_gpt":0.4839230568222767,"score_spread":0.1970854158230845,"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."}}