{"id":"W4360989189","doi":"10.18280/ria.370114","title":"A New Effective Speed and Distance Feature Descriptor Based on Optical Flow Approach in HAR","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optical flow; Feature (linguistics); Artificial intelligence; Computer science; Flow (mathematics); Pattern recognition (psychology); Mathematics; Image (mathematics); Geometry; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005146941,0.0008709937,0.001262981,0.003830928,0.000417231,0.001183321,0.00112621,0.0005743086,0.001767441],"category_scores_gemma":[0.0009319098,0.0002823241,0.0009709445,0.003621445,0.00044849,0.002181477,0.0007686361,0.0008244817,0.0009440343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007744133,"about_ca_system_score_gemma":0.00108922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00695259,"about_ca_topic_score_gemma":0.00337997,"domain_scores_codex":[0.9993663,0.00006497408,0.00004334469,0.0001545008,0.0002909968,0.00007982868],"domain_scores_gemma":[0.999606,0.00005001984,0.00004763763,0.00004377979,0.000221546,0.00003104654],"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":[0.0002624156,0.0001889518,0.001967577,0.0001956387,0.00009270606,0.00008377092,0.00005165068,0.01935067,0.03909218,0.01307787,0.01277177,0.9128647],"study_design_scores_gemma":[0.00004717511,0.0003241984,0.005661062,0.0000413137,0.0001002452,0.000453007,0.00008219705,0.9299504,0.03123657,0.006417443,0.02555866,0.0001277072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01555063,0.002216267,0.9777483,0.0001652234,0.0004953585,0.0001267266,0.0004394696,0.001175431,0.002082621],"genre_scores_gemma":[0.3267624,0.00407513,0.6545157,0.0003086941,0.0007437124,0.0003829685,0.003019275,0.000301221,0.009890915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00695259,"threshold_uncertainty_score":0.01382422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595167817442682,"score_gpt":0.2403788949979519,"score_spread":0.2144272168235251,"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."}}