{"id":"W2112773017","doi":"10.1145/2556288.2557316","title":"Let's kick it","year":2014,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Foot (prosody); Gesture; Tapping; Computer science; Modalities; Space (punctuation); Human–computer interaction; Surface (topology); Computer graphics (images); Computer vision; Engineering; Mechanical engineering; Geometry; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006820261,0.00004501017,0.00004600929,0.0000265945,0.00003896263,0.00005055702,0.0003522225,0.00001393679,0.0002046609],"category_scores_gemma":[0.0000243176,0.00003559649,0.00003315869,0.00006570535,0.000009415407,0.0003340724,0.00008704157,0.00004074102,0.001856575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007778407,"about_ca_system_score_gemma":0.000006987703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002162071,"about_ca_topic_score_gemma":0.000003500273,"domain_scores_codex":[0.9995983,0.00002004095,0.00005336835,0.0001362178,0.00007503788,0.0001170112],"domain_scores_gemma":[0.9996424,0.000042541,0.00001576457,0.0002216528,0.00004582094,0.00003183744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001829041,0.00002861139,0.0002442792,0.00000153758,0.000008398643,0.000001988804,0.0003491946,0.000004643981,0.02377689,0.842055,0.1208261,0.01270148],"study_design_scores_gemma":[0.0002907043,0.0001546332,0.01252559,0.000009691184,0.00000272377,0.00001155804,0.0001018164,0.03392281,0.1230095,0.003790984,0.8259301,0.0002499414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002118983,0.000002123772,0.6322258,0.002648499,0.0002038954,0.0000164762,7.643564e-8,0.00001192306,0.3627722],"genre_scores_gemma":[0.9790396,8.815213e-7,0.004556609,0.008933328,0.00005198132,0.000001643274,4.940567e-7,0.000002153365,0.007413289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9769207,"threshold_uncertainty_score":0.9989206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008545335746566974,"score_gpt":0.2374609325551275,"score_spread":0.2289155968085606,"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."}}