{"id":"W4402464092","doi":"10.11159/icbes24.120","title":"Smartwatch Behavior Monitoring and Proximity Detection to Predict Biopsychosocial Interaction Experiences of Dyads","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health","keywords":"Smartwatch; Biopsychosocial model; Human–computer interaction; Computer science; Wearable computer; Psychology; Embedded system; Psychotherapist","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004493161,0.0004441769,0.0003420764,0.0009600698,0.0001817985,0.0004087293,0.0002464489,0.0004501087,0.001422832],"category_scores_gemma":[0.00211185,0.0001608879,0.0002469855,0.0003473692,0.000107134,0.0004539025,0.0005514611,0.0002639088,0.0005154654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127074,"about_ca_system_score_gemma":0.0001133846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188754,"about_ca_topic_score_gemma":0.003339674,"domain_scores_codex":[0.9996477,0.0001420978,0.00001991947,0.0001086542,0.00004725199,0.0000342389],"domain_scores_gemma":[0.9991971,0.0003447285,0.0001911443,0.0000519605,0.0001053398,0.0001097312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001001415,0.0007963966,0.8417087,0.0002563263,0.0002551958,0.0002181902,0.001766201,0.001759385,0.02360403,0.0002461732,0.00143787,0.1269501],"study_design_scores_gemma":[0.00002978547,0.0009441818,0.9320421,0.00005568141,0.00009708649,0.0005969515,0.00192506,0.05935253,0.003278915,0.0005618177,0.001085813,0.00003009077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917122,0.0001775731,0.006997604,0.00005360385,0.0000151759,0.00004815587,0.0002525299,0.00007496551,0.0006681804],"genre_scores_gemma":[0.991936,0.00009478821,0.007137144,0.00002993906,0.0000119554,0.00008006104,0.0002860427,0.000005037585,0.0004191679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001422832,"threshold_uncertainty_score":0.004759789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510862742275269,"score_gpt":0.2806364628915724,"score_spread":0.2655278354688197,"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."}}