{"id":"W4236451683","doi":"10.32920/ryerson.14657508","title":"Machine recognition of human gestures through principal joint variable analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gesture; Gesture recognition; Computer science; Benchmark (surveying); Artificial intelligence; Principal (computer security); Speech recognition; Machine learning; Human–computer interaction; Computer vision","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008629453,0.0003986916,0.001167533,0.0004674005,0.0001155551,0.000389005,0.0009362164,0.0004583556,0.0006190612],"category_scores_gemma":[0.00008501732,0.0003518522,0.000617111,0.001391932,0.00004647403,0.0003237624,0.001723012,0.0006264334,0.00003093424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000786297,"about_ca_system_score_gemma":0.00022654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021366,"about_ca_topic_score_gemma":0.0003868519,"domain_scores_codex":[0.9963617,0.0004251402,0.001069442,0.001109554,0.0007067272,0.0003274612],"domain_scores_gemma":[0.9967445,0.00009766835,0.0007347473,0.001563649,0.000746668,0.0001127941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001433382,0.01422541,0.03382683,0.02347558,0.1063253,0.00148229,0.09506945,0.06046056,0.08894316,0.3599691,0.01669277,0.1993862],"study_design_scores_gemma":[0.007662746,0.001474395,0.06452279,0.008222261,0.01640207,0.0005236706,0.002799085,0.1795391,0.2823407,0.4008842,0.02208941,0.01353958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01478153,0.0006190392,0.9215663,0.0002508983,0.000814464,0.0004640997,0.00007406002,0.0002884646,0.06114112],"genre_scores_gemma":[0.7618256,0.0001076499,0.2353148,0.0002661117,0.0002259812,0.0001138353,0.0009076501,0.00002519341,0.0012132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7470441,"threshold_uncertainty_score":0.9998934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06096488061768561,"score_gpt":0.293308834778033,"score_spread":0.2323439541603474,"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."}}