{"id":"W2266492292","doi":"","title":"Engineering cyber physical systems","year":2015,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; University of Victoria","funders":"","keywords":"Cyber-physical system; Transformative learning; Computer science; Context (archaeology); Wearable computer; Wearable technology; Systems engineering; Data science; Engineering; Embedded system","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":[],"consensus_categories":[],"category_scores_codex":[0.001061569,0.0002221061,0.0002745263,0.0003234258,0.000115498,0.0008569551,0.0009099176,0.00004763495,3.352019e-7],"category_scores_gemma":[0.0004004637,0.0002170647,0.00004276833,0.001014221,0.00006613447,0.001906833,0.0006314756,0.0001798143,0.0000487207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524618,"about_ca_system_score_gemma":0.000187962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000225404,"about_ca_topic_score_gemma":3.407979e-7,"domain_scores_codex":[0.9979481,0.00002261089,0.0002048827,0.0006102564,0.000736681,0.0004774605],"domain_scores_gemma":[0.998347,0.0002435997,0.00005200629,0.0005248312,0.0003837864,0.0004487273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008850673,0.0003227654,0.005996758,0.0004999666,0.0001439824,0.0003417011,0.01679629,0.3698469,0.006034521,0.04232582,0.004255489,0.5534269],"study_design_scores_gemma":[0.0002054741,0.00004645634,0.001147204,0.00007665892,0.000002958373,0.000166485,0.00001154449,0.9929894,0.0003293353,0.0000232995,0.004697735,0.0003034418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08805965,0.0001752782,0.9086654,0.00005519818,0.002112041,0.0001503988,0.000001185337,0.0007524311,0.00002838115],"genre_scores_gemma":[0.9398137,0.00000178904,0.05961774,0.00005397664,0.0004492301,0.00002494453,5.877131e-7,0.00001566758,0.00002230154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8517541,"threshold_uncertainty_score":0.8851643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132170453173842,"score_gpt":0.2197604505631107,"score_spread":0.1984387460313723,"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."}}