{"id":"W2584306374","doi":"10.1145/3036699.3036710","title":"SIDEWINDER","year":2017,"lang":"en","type":"article","venue":"GetMobile Mobile Computing and Communications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Software portability; Interface (matter); Embedded system; Software deployment; Participatory sensing; Mobile device; Efficient energy use; Real-time computing; Operating system; Engineering","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":[0.0003952293,0.001227329,0.0004630951,0.0005582628,0.0003658879,0.001144994,0.002079714,0.0007715873,0.1099864],"category_scores_gemma":[0.001459605,0.0006573917,0.0005463767,0.0003447761,0.0002853563,0.002050923,0.002319359,0.001130182,0.04630113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363414,"about_ca_system_score_gemma":0.0005232241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083673,"about_ca_topic_score_gemma":0.002220688,"domain_scores_codex":[0.9995875,0.00003193965,0.000023252,0.0001090706,0.0001709244,0.00007744828],"domain_scores_gemma":[0.9993406,0.0001351507,0.00003965458,0.0002379302,0.0001690758,0.00007755915],"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":[0.001477108,0.0002211803,0.003354437,0.0007822712,0.00008445995,0.000580719,0.0006472055,0.003612786,0.05863586,0.01856598,0.4150857,0.4969523],"study_design_scores_gemma":[0.000219556,0.0003047303,0.00286884,0.0001289477,0.00007239027,0.0007575056,0.0001396453,0.0372039,0.05849227,0.009656999,0.8900506,0.0001046524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02586405,0.001248357,0.3823987,0.0006427562,0.0009338559,0.0007691768,0.005647935,0.3528758,0.2296194],"genre_scores_gemma":[0.2466632,0.00139319,0.1994618,0.002108133,0.0003048606,0.001009468,0.01928896,0.05061885,0.4791515],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1099864,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04802664794405237,"score_gpt":0.3307441118304372,"score_spread":0.2827174638863848,"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."}}