{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006345329,0.002177371,0.0009889167,0.001415204,0.0004061671,0.001173852,0.001804178,0.001439395,0.0711637],"category_scores_gemma":[0.002734204,0.0006441152,0.0006620712,0.0005769815,0.0003184877,0.001860325,0.002129112,0.0009859895,0.06428009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268295,"about_ca_system_score_gemma":0.000661723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153685,"about_ca_topic_score_gemma":0.003475262,"domain_scores_codex":[0.9994295,0.00005594188,0.00004052291,0.000177979,0.0002286977,0.00006723751],"domain_scores_gemma":[0.9987308,0.0003109166,0.00009323017,0.0002470362,0.0004836886,0.0001342025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003070811,0.0002996456,0.008657193,0.001300205,0.0002114553,0.000712713,0.0004237066,0.00145637,0.02231966,0.001889051,0.4974048,0.4622544],"study_design_scores_gemma":[0.000651024,0.001933555,0.03758637,0.0005379294,0.0003066476,0.003016036,0.0003214984,0.03515272,0.06154867,0.007951757,0.8504765,0.0005173502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.05111638,0.007028244,0.1732395,0.001431237,0.00282945,0.002704381,0.05370186,0.6004063,0.1075426],"genre_scores_gemma":[0.4143946,0.004302808,0.1395981,0.005466983,0.0009229696,0.003909505,0.1592923,0.02768066,0.2444321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0711637,"threshold_uncertainty_score":0,"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."}}