{"id":"W2294499825","doi":"10.1145/2076354.2076373","title":"Tangible actions","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Computer science; Human–computer interaction; Gesture; Reuse; Space (punctuation); Clutter; Programming by demonstration; Multimedia; Artificial intelligence","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":[0.0006956215,0.001607139,0.0005607835,0.0006213522,0.0007640321,0.003060254,0.001673483,0.001291312,0.04142721],"category_scores_gemma":[0.003679865,0.0005196074,0.0009416267,0.0004335228,0.001637552,0.003058487,0.003772333,0.001366575,0.01035654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003764385,"about_ca_system_score_gemma":0.0007112537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009062431,"about_ca_topic_score_gemma":0.001446302,"domain_scores_codex":[0.9985909,0.0002712911,0.000135378,0.0002314361,0.0006077833,0.0001632134],"domain_scores_gemma":[0.9986957,0.0004973692,0.0001067912,0.0003258621,0.0002015138,0.0001727616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008632228,0.0002372773,0.001116615,0.003141431,0.00008020065,0.001589445,0.003258398,0.008700503,0.05652916,0.4050282,0.07320787,0.4462478],"study_design_scores_gemma":[0.0001153246,0.00032318,0.0005800531,0.0003580792,0.00007563158,0.001608351,0.0003147599,0.01221418,0.02647397,0.03364448,0.9241725,0.0001196481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007467446,0.001298823,0.8965144,0.0004951789,0.0006995279,0.0003673966,0.001045522,0.01514349,0.0769683],"genre_scores_gemma":[0.1979338,0.002575666,0.6779327,0.000934911,0.0002107286,0.001091334,0.002644637,0.004250905,0.1124253],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04142721,"threshold_uncertainty_score":0.1385879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08689640485473761,"score_gpt":0.2712856517474251,"score_spread":0.1843892468926875,"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."}}