{"id":"W4250899568","doi":"10.32920/ryerson.14660982","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; Dynamic programming; Joint (building); Quadratic equation; Action (physics); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009628201,0.0001495445,0.0002761039,0.00009000592,0.000197018,0.0005808019,0.0004546945,0.0001544672,0.0001132498],"category_scores_gemma":[0.00002245837,0.0001393746,0.0002396641,0.0001359138,0.000007981962,0.0002122607,0.0006034573,0.0001188209,0.0000196528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466914,"about_ca_system_score_gemma":0.0001447048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000373188,"about_ca_topic_score_gemma":0.00007279188,"domain_scores_codex":[0.9984787,0.00009236782,0.0003237296,0.0005710771,0.0003685591,0.0001655946],"domain_scores_gemma":[0.9985087,0.00003452332,0.0002681177,0.0006696236,0.0004749683,0.00004407417],"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":[0.0000222177,0.0002226654,0.0001059826,0.002466627,0.001252094,0.00001372956,0.002647294,0.06414901,0.0659215,0.1652017,0.005302688,0.6926945],"study_design_scores_gemma":[0.0001146946,0.00002581879,0.0001546345,0.00009750896,0.00009868219,0.000003605329,0.0001531146,0.9965107,0.001907764,0.0006037162,0.0001547632,0.0001750289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0520354,0.00004802802,0.9146223,0.000154764,0.0008963682,0.0006852077,0.00000489472,0.0004302759,0.03112277],"genre_scores_gemma":[0.9084977,0.000006027203,0.08696977,0.00001158422,0.0004441324,0.000183003,0.0003441495,0.00001799301,0.003525647],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9323617,"threshold_uncertainty_score":0.5683533,"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."}}