{"id":"W2131311058","doi":"10.1109/iccv.2011.6126472","title":"Discriminative figure-centric models for joint action localization and recognition","year":2011,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Discriminative model; Computer science; Artificial intelligence; Representation (politics); Action (physics); Pattern recognition (psychology); Action recognition; Computer vision; Word (group theory); Mathematics","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":[0.0001071858,0.0000790029,0.00007357746,0.0001281025,0.0001350017,0.00006424948,0.00006275334,0.0000478868,0.00009363929],"category_scores_gemma":[0.00001567159,0.00007091202,0.00003159517,0.0001313735,0.00001644177,0.001255897,0.00002652601,0.00003960398,0.00003041402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002691138,"about_ca_system_score_gemma":0.00001280704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003146407,"about_ca_topic_score_gemma":0.00001424228,"domain_scores_codex":[0.9993917,0.0000298714,0.0001418243,0.0002314462,0.00008460019,0.0001205861],"domain_scores_gemma":[0.9996164,0.00002266182,0.0000729346,0.00009128141,0.0001459458,0.00005079562],"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":[0.0000338952,0.0002322834,0.00001858567,0.00007269658,0.00002562526,0.000001480132,0.003907753,0.00005897018,0.0004502699,0.05265513,0.002721783,0.9398215],"study_design_scores_gemma":[0.0004986584,0.0001780523,0.0003844021,0.00002537258,0.00001980554,0.000008352905,0.0002466448,0.6451695,0.03158689,0.3213444,0.0003555038,0.000182399],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005274119,0.0000129043,0.9846497,0.00007610764,0.0001646881,0.0003147051,0.000003672542,0.0001250055,0.009379164],"genre_scores_gemma":[0.960134,0.00007184556,0.03864968,0.0003843466,0.00005965852,0.00009535936,0.00004580817,0.000008202102,0.000551055],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9548599,"threshold_uncertainty_score":0.2891708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1897395327758843,"score_gpt":0.2759568995787682,"score_spread":0.08621736680288386,"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."}}