{"id":"W2790488273","doi":"10.5072/zenodo.205009","title":"A Responsive User Body Suit (RUBS)","year":2017,"lang":"en","type":"article","venue":"New Interfaces for Musical Expression","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.0002360905,0.0002272585,0.0002504901,0.0001749655,0.000656948,0.0004921435,0.002296619,0.000237824,0.0001244051],"category_scores_gemma":[0.001035211,0.0001869003,0.0001011398,0.0000889303,0.0001707484,0.001583274,0.001115845,0.0003924354,0.0001960021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008880061,"about_ca_system_score_gemma":0.00007340119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004038031,"about_ca_topic_score_gemma":0.00001759447,"domain_scores_codex":[0.998328,0.00005293013,0.0003154684,0.0006580953,0.0002576273,0.0003878532],"domain_scores_gemma":[0.9975437,0.0002190762,0.0003804819,0.001494328,0.0002652079,0.000097196],"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":[0.0003333641,0.00009466516,0.0001070627,0.00001273086,0.00002486834,0.00001427551,0.0008682891,0.00000473732,0.8060368,0.06975566,0.1047665,0.01798106],"study_design_scores_gemma":[0.000920489,0.0004233497,0.001353304,0.0002175025,0.000006813817,0.0000164219,0.00004984695,0.003774349,0.8127658,0.01411149,0.1660952,0.0002653639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4972223,0.00002478549,0.4893183,0.006397214,0.002533786,0.000533894,0.000006656921,0.0003754805,0.003587549],"genre_scores_gemma":[0.965169,0.000002278327,0.02662496,0.0004805404,0.000289299,0.00006550406,0.000003388679,0.00002111655,0.007343909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4679467,"threshold_uncertainty_score":0.7621574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693784834671823,"score_gpt":0.339268518456373,"score_spread":0.3023306701096548,"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."}}