{"id":"W4233573305","doi":"10.32920/ryerson.14660982.v1","title":"Real time system for human action evaluation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Singular value decomposition; Sequential quadratic programming; Image warping; Ground truth; Sequence (biology); Dynamic time warping; Joint (building); Dynamic programming; Quadratic equation; Artificial intelligence; Action (physics); Algorithm; Computer vision; Quadratic programming; Mathematical optimization; Mathematics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00422421,0.002059756,0.0015444,0.002000233,0.0004683154,0.00210939,0.001984638,0.001213016,0.04722],"category_scores_gemma":[0.008565224,0.0003473922,0.0005313714,0.0010516,0.0004285836,0.001840348,0.002055909,0.001096083,0.02770147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009622593,"about_ca_system_score_gemma":0.0008553687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306842,"about_ca_topic_score_gemma":0.002148217,"domain_scores_codex":[0.9959717,0.00102638,0.0003710581,0.0009623134,0.001448553,0.0002200806],"domain_scores_gemma":[0.9958022,0.0007380748,0.0002462616,0.0008636069,0.001959153,0.00039069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005550004,0.0009087252,0.006105458,0.001230154,0.0003810642,0.000573514,0.0004886051,0.01609293,0.05496907,0.0100284,0.2966573,0.6070149],"study_design_scores_gemma":[0.0009487115,0.002126256,0.01778581,0.0002733865,0.0002175527,0.000947382,0.0004384393,0.6154612,0.07726439,0.01526454,0.2688874,0.0003849335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03992443,0.001084213,0.6859721,0.0007495526,0.002020326,0.003545895,0.02515095,0.2066784,0.03487404],"genre_scores_gemma":[0.5236233,0.0006931342,0.3587928,0.001067262,0.000488857,0.007186792,0.05744838,0.007788656,0.04291081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04722,"threshold_uncertainty_score":0.1579666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0802462041954924,"score_gpt":0.3265522496621277,"score_spread":0.2463060454666353,"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."}}