{"id":"W2265696903","doi":"10.1145/2799648","title":"Gestures à Go Go","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Intelligent Systems and Technology","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Gesture; Computer science; Bootstrapping (finance); Human–computer interaction; Gesture recognition; Quality (philosophy); Artificial intelligence","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":[0.0003158361,0.0002037328,0.0002931528,0.0005877942,0.0001432698,0.0001353759,0.000778863,0.0003112813,0.000007060668],"category_scores_gemma":[0.00006080967,0.0001696061,0.00005233425,0.0007396961,0.00009572173,0.0001832156,0.00003112227,0.0003111765,0.0005129462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006217385,"about_ca_system_score_gemma":0.00005690973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007209479,"about_ca_topic_score_gemma":0.00003073778,"domain_scores_codex":[0.9985355,0.00007779131,0.0003706325,0.000469145,0.0002515005,0.0002954362],"domain_scores_gemma":[0.9984468,0.0001058731,0.00009836021,0.0009656971,0.0002118829,0.0001713956],"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":[0.00003603077,0.0005851975,0.001058702,0.00017733,0.0004059089,0.0001256732,0.002632653,0.000945748,0.0007750219,0.1876585,0.008949708,0.7966496],"study_design_scores_gemma":[0.001126595,0.001266304,0.00007401757,0.000358492,0.00005481637,0.002162537,0.003230871,0.004706378,0.02016044,0.03311106,0.9327965,0.0009519348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003803372,0.001763019,0.9853143,0.004161922,0.001900814,0.0004041413,0.00000735574,0.0007477796,0.001897311],"genre_scores_gemma":[0.9930442,0.0001818677,0.004266393,0.00009424891,0.00006398158,0.0001803585,0.000001453,0.00001605332,0.002151439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9892408,"threshold_uncertainty_score":0.6916337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04107652253546483,"score_gpt":0.2715265347485359,"score_spread":0.230450012213071,"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."}}