{"id":"W7033617534","doi":"","title":"Reconnaissance des actions humaines à partir d'une séquence vidéo","year":2014,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Classifier (UML); Dimensionality reduction; Segmentation; Pattern recognition (psychology); Action recognition; Set (abstract data type); Activity recognition; Training set; Sequence (biology); Feature extraction","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":[0.0003848849,0.000945419,0.0006944428,0.001272167,0.0004759729,0.0010208,0.0006308979,0.0007038299,0.004757258],"category_scores_gemma":[0.0009834789,0.000203867,0.0007800998,0.0007330875,0.0002598215,0.0005722842,0.0004422198,0.0005380405,0.003159796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003623905,"about_ca_system_score_gemma":0.0004598835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008594639,"about_ca_topic_score_gemma":0.01450699,"domain_scores_codex":[0.9995911,0.00004508548,0.00002015872,0.0001691843,0.0001264801,0.00004816808],"domain_scores_gemma":[0.9996648,0.00008566418,0.00004341473,0.00005503241,0.0001129034,0.00003825247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005148136,0.000157087,0.01126267,0.0003512007,0.0001130819,0.0005525383,0.0003336568,0.01595616,0.0651726,0.001305113,0.01400864,0.8902724],"study_design_scores_gemma":[0.00006259041,0.0006796815,0.1172317,0.0002485804,0.0001507618,0.002555059,0.001282637,0.5733037,0.1691241,0.002753234,0.1324442,0.0001639107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5058827,0.004150407,0.4392988,0.0007663257,0.00130726,0.0003250444,0.005877363,0.01398554,0.02840669],"genre_scores_gemma":[0.6587502,0.002152103,0.2930724,0.0001995325,0.0002944659,0.0001356392,0.009027381,0.0004727786,0.03589536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008594639,"threshold_uncertainty_score":0.01708919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009937954714392946,"score_gpt":0.1755419642947971,"score_spread":0.1656040095804042,"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."}}