{"id":"W3176790016","doi":"10.1109/tmc.2021.3093259","title":"Acoustic Software Defined Platform: A Versatile Sensing and General Benchmarking Platform","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Benchmarking; Software; Usability; Interface (matter); User interface; Focus (optics); Ubiquitous computing; Embedded system; Graphical user interface; Human–computer interaction; Software engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007592457,0.0002096174,0.0002133483,0.0001524419,0.0003509349,0.00008690063,0.00007174067,0.0001543373,0.00004549674],"category_scores_gemma":[0.00001204241,0.0002349559,0.00007437591,0.0003328646,0.00004574306,0.0001303903,0.000004834937,0.0003271553,0.0000103105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000112665,"about_ca_system_score_gemma":0.00003105933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001489051,"about_ca_topic_score_gemma":0.00005330679,"domain_scores_codex":[0.9989866,0.00001014352,0.0002649759,0.0002554049,0.0001485756,0.0003343272],"domain_scores_gemma":[0.9994662,0.0001735925,0.00003157694,0.0002059378,0.00006287971,0.00005980926],"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":[0.000003823693,0.00001108578,0.0000207018,0.00005249534,0.00003316657,0.00002251111,0.0003056472,0.7516555,0.002847372,0.00001185045,0.00003971308,0.2449961],"study_design_scores_gemma":[0.0004150266,0.00004728171,0.00004887827,0.0001189772,0.0000380992,0.00009894211,0.0005068707,0.9195095,0.07867331,0.00007599707,0.0001855966,0.0002815276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3467214,0.0001244204,0.6515821,0.000004123242,0.0005835528,0.00009582647,0.000009385616,0.0007655171,0.0001136809],"genre_scores_gemma":[0.9765,0.00007324832,0.02321137,0.00005017329,0.00007374585,0.00000590565,0.00001059911,0.00004222277,0.00003278025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6297786,"threshold_uncertainty_score":0.9581222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201702244130827,"score_gpt":0.2155454359408966,"score_spread":0.2035284134995884,"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."}}