{"id":"W2983900927","doi":"10.1145/3360323","title":"SafeWatch","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Cyber-Physical Systems","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Alertness; Smartwatch; Computer science; Set (abstract data type); Position (finance); Simulation; Real-time computing; Human–computer interaction; Artificial intelligence; Computer vision; Wearable computer; Embedded system; Psychology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001373645,0.000227382,0.0003459208,0.0001377489,0.0001687242,0.00007057949,0.0003540218,0.0001435647,0.009221274],"category_scores_gemma":[0.00001093905,0.0002032532,0.0002595791,0.0002780599,0.00004091727,0.0001796958,0.000004816943,0.0004333747,0.05029071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131392,"about_ca_system_score_gemma":0.00002071514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004306315,"about_ca_topic_score_gemma":0.0000170676,"domain_scores_codex":[0.9982529,0.0002217901,0.0003866046,0.0004613887,0.0003388054,0.0003384857],"domain_scores_gemma":[0.9981703,0.0004154267,0.0001127102,0.001069163,0.00008323257,0.0001491646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002431759,0.01684213,0.003400934,0.0005688407,0.004544451,0.0001281961,0.05409809,0.02900604,0.02581569,0.4185875,0.09072252,0.3538539],"study_design_scores_gemma":[0.005369974,0.00139605,0.0287691,0.0002937,0.0001927684,0.0001851048,0.008387796,0.007662479,0.001714975,0.001891718,0.9424415,0.001694827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6912911,0.000036273,0.03001957,0.001980644,0.01290707,0.001229426,0.00009621577,0.0008780822,0.2615616],"genre_scores_gemma":[0.9356602,0.000002025208,0.00003991308,0.0002501053,0.0003148695,0.0001720519,0.00001222737,0.0000382485,0.06351033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.851719,"threshold_uncertainty_score":0.9916844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252126403525748,"score_gpt":0.3335195099600383,"score_spread":0.3109982459247808,"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."}}