{"id":"W4230438372","doi":"10.1145/2954679.2872398","title":"Sidewinder","year":2016,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Toronto","funders":"","keywords":"Computer science; Software portability; Interface (matter); Embedded system; Software deployment; Mobile device; Participatory sensing; Real-time computing; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004147698,0.001302985,0.0004677706,0.0005827306,0.000373558,0.001320382,0.001945366,0.0007663472,0.1182372],"category_scores_gemma":[0.001386005,0.0006289408,0.0005373386,0.0003821414,0.0002681942,0.001995884,0.002365142,0.001160306,0.06013903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282215,"about_ca_system_score_gemma":0.0005158525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187854,"about_ca_topic_score_gemma":0.00233705,"domain_scores_codex":[0.9995344,0.00003711215,0.00002650356,0.0001314312,0.0001883798,0.00008229074],"domain_scores_gemma":[0.9992979,0.0001264899,0.00003982953,0.0002891864,0.0001637066,0.00008303714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001371163,0.0002117178,0.003024993,0.0006470534,0.00007148978,0.0004519662,0.0005443271,0.002588401,0.049975,0.01438805,0.387126,0.5395998],"study_design_scores_gemma":[0.0001915981,0.0002581649,0.002416993,0.00009974285,0.00005629165,0.0005295118,0.0001173448,0.0251716,0.04099482,0.006714356,0.9233703,0.00007918169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02091466,0.001095242,0.3771064,0.0006671492,0.001041796,0.0007473302,0.006208169,0.3478265,0.2443927],"genre_scores_gemma":[0.2027677,0.001324096,0.204537,0.002001718,0.0003167263,0.0009003134,0.02144842,0.04599252,0.5207115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1182372,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180295347872454,"score_gpt":0.2607015934689875,"score_spread":0.218898639990263,"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."}}