{"id":"W2783437277","doi":"10.1145/3161179","title":"SafeDrive","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Mitacs; National Science Foundation","keywords":"Gesture; Computer science; Wearable computer; Distracted driving; Artificial intelligence; Smartwatch; Real-time computing; Computer vision; Simulation; Human–computer interaction; Poison control; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001030448,0.0002001402,0.0002467611,0.0001610723,0.0001769698,0.00002295236,0.001208872,0.0002484401,0.00001588428],"category_scores_gemma":[0.0003978523,0.0001419583,0.0000619313,0.000293119,0.0007348316,0.0001980898,0.0008064572,0.0004833912,0.0000268645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006157156,"about_ca_system_score_gemma":0.000007659783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005480053,"about_ca_topic_score_gemma":0.000003076047,"domain_scores_codex":[0.9991504,0.000002701143,0.0002138445,0.0002485374,0.0001070497,0.000277483],"domain_scores_gemma":[0.9992259,0.00008153352,0.0001010448,0.0004354898,0.0001396371,0.0000164598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003725235,0.0002198514,0.01004208,0.0002885363,0.0004538955,0.000002783137,0.002170125,0.0001051784,0.6038951,0.02271102,0.01368815,0.3460507],"study_design_scores_gemma":[0.0001593092,0.0005377943,0.001347802,0.0001831851,0.00001813928,0.00002014507,0.002998152,0.0004126884,0.9584233,0.03065766,0.005066117,0.0001756848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824055,0.0003843232,0.00001175143,0.0006252027,0.0002148356,0.0003118465,0.000005912882,0.001564322,0.01447632],"genre_scores_gemma":[0.9986763,0.0003973865,0.0005412505,0.0000333509,0.00003340953,0.0001165072,1.40036e-7,0.00002429523,0.0001773625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3545282,"threshold_uncertainty_score":0.5788893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006253644753485771,"score_gpt":0.2204904017058824,"score_spread":0.2142367569523967,"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."}}