{"id":"W2294621605","doi":"10.1145/2818346.2823293","title":"CuddleBits","year":2015,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gesture; Computer science; Gesture recognition; Software; Robot; Computer vision; Artificial intelligence; Haptic technology; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002574037,0.000871242,0.0003718542,0.00105536,0.001398612,0.001260971,0.001116655,0.0006112055,0.04237826],"category_scores_gemma":[0.0008988235,0.0003227625,0.0002243794,0.0006000189,0.0005265609,0.001156035,0.00205419,0.0005600682,0.01041514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006152373,"about_ca_system_score_gemma":0.0004306006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003726535,"about_ca_topic_score_gemma":0.005455235,"domain_scores_codex":[0.9994498,0.00005166206,0.00002033098,0.0001376527,0.0002264973,0.0001139754],"domain_scores_gemma":[0.9995286,0.00005310359,0.00004826301,0.0001147996,0.0001366962,0.0001185892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001671653,0.0002843569,0.008349523,0.0005638691,0.00003155516,0.001448726,0.002005547,0.001602814,0.1020461,0.02573771,0.1048591,0.7513992],"study_design_scores_gemma":[0.0001029024,0.0008429007,0.01168037,0.0001939908,0.00004414738,0.002037601,0.0008748454,0.01130751,0.06347429,0.002767049,0.9065439,0.0001305916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3081876,0.004152602,0.160084,0.002172399,0.001995925,0.0006004525,0.00277984,0.02957539,0.4904518],"genre_scores_gemma":[0.6476505,0.0009842647,0.07679018,0.0006173078,0.0001650907,0.0003204116,0.002289613,0.001011955,0.2701707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04237826,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2583101317872529,"score_gpt":0.4733348580895261,"score_spread":0.2150247263022732,"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."}}