{"id":"W2397820364","doi":"","title":"Sense/Stage - Low Cost, Open Source Wireless Sensor Infrastructure For Live Performance And Interactive, Real-Time Environments","year":2010,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Firmware; Computer science; Wireless sensor network; Wireless; Wireless network; Software; Multimedia; Telecommunications; Computer network; 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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0009234551,0.0006009375,0.0003871038,0.0008730715,0.0003849097,0.0007807941,0.001829943,0.0004725827,0.008107661],"category_scores_gemma":[0.002032446,0.0004246162,0.0003297721,0.0004627796,0.0005352602,0.002148628,0.001857605,0.000760924,0.00175364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005015506,"about_ca_system_score_gemma":0.001036944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007241868,"about_ca_topic_score_gemma":0.001676713,"domain_scores_codex":[0.9992636,0.00006023638,0.0000292297,0.00009499097,0.0004898685,0.0000622076],"domain_scores_gemma":[0.9991177,0.0001718885,0.0001207948,0.0002015059,0.0002191155,0.0001690644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006628946,0.0005187592,0.004903578,0.0009209035,0.0001144193,0.0008979529,0.0009408874,0.009375093,0.6021889,0.02369847,0.03138831,0.3243897],"study_design_scores_gemma":[0.0005467823,0.003610502,0.01313232,0.0001007765,0.0001660771,0.002143598,0.0005446585,0.1365946,0.4825925,0.005868533,0.3545065,0.0001932342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07674284,0.0004332638,0.8600735,0.0004198594,0.0002818184,0.001318348,0.0009561011,0.03421086,0.02556346],"genre_scores_gemma":[0.4884731,0.0007533794,0.443913,0.0002745603,0.0001154018,0.001277274,0.003093706,0.002929951,0.05916958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9981701,"threshold_uncertainty_score":0.02712286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005610512627936911,"score_gpt":0.2312466633441898,"score_spread":0.2256361507162529,"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."}}