{"id":"W3131260619","doi":"10.1109/sbst52555.2021.00010","title":"Data Driven Testing of Cyber Physical Systems","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Testbed; Computer science; Python (programming language); Cyber-physical system; Thermostat; Software deployment; Software; Task (project management); Software engineering; Domain (mathematical analysis); Implementation; Distributed computing; Systems engineering; Engineering; Programming language","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":[0.002426112,0.0009916641,0.0005447457,0.001085316,0.0002884172,0.001220737,0.00178438,0.0009655746,0.002040296],"category_scores_gemma":[0.01373745,0.000498659,0.0008390925,0.0007067483,0.001832322,0.00171154,0.001249099,0.0009761926,0.0002812124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009465123,"about_ca_system_score_gemma":0.001087326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775682,"about_ca_topic_score_gemma":0.001375708,"domain_scores_codex":[0.9964188,0.001412992,0.0001916289,0.0004658801,0.001275451,0.0002351799],"domain_scores_gemma":[0.9895263,0.007350687,0.000682182,0.001423013,0.0008083647,0.0002095342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003116287,0.0002086866,0.006413092,0.0004763138,0.00007585002,0.0004273519,0.0002646444,0.8915849,0.01457893,0.02122061,0.001307176,0.06313089],"study_design_scores_gemma":[0.00002580014,0.00006345935,0.0005659888,0.00002430077,0.000007989981,0.00006821667,0.00002236102,0.9727573,0.01171706,0.01372639,0.001011149,0.00001004456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1694005,0.0003579414,0.8195105,0.0004401186,0.0000735437,0.0001664169,0.0007678207,0.005696947,0.003586302],"genre_scores_gemma":[0.8770521,0.0001720889,0.1202589,0.0001133209,0.00001780905,0.0002590274,0.0008916212,0.0003491216,0.0008860652],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002426112,"threshold_uncertainty_score":0.01283067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260824671765509,"score_gpt":0.3288151268835879,"score_spread":0.202732659707037,"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."}}