{"id":"W3095559139","doi":"","title":"Action2Motion","year":2020,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"","keywords":"Motion (physics); Action (physics); Computer science; Sequence (biology); Artificial intelligence; Set (abstract data type); Kinematics; Space (punctuation); Human motion; Task (project management); Trajectory; Action recognition; Computer vision; Class (philosophy); Engineering; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003049913,0.00005563556,0.0000507211,0.00004404853,0.0001005972,0.00004015752,0.0002403759,0.00003128881,0.0001287172],"category_scores_gemma":[0.000009499156,0.00006498013,0.00004497587,0.0003898071,0.00001454146,0.0007139877,0.0000585942,0.00007537434,0.0009179968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002486168,"about_ca_system_score_gemma":0.00001617731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004902862,"about_ca_topic_score_gemma":0.000001908901,"domain_scores_codex":[0.9995377,0.00002869769,0.00004914413,0.0002577855,0.00003015799,0.0000965345],"domain_scores_gemma":[0.9996772,0.00001397724,0.00003728541,0.0001340874,0.00003934262,0.0000980484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000424645,0.0001527819,0.002026008,0.00003058425,0.00006037883,0.0002675805,0.0007858676,0.01576383,0.003731775,0.9395603,0.007884652,0.02969381],"study_design_scores_gemma":[0.0009423312,0.0001837214,0.004376986,0.00001198428,0.0000252033,0.00001027007,0.0001607365,0.9377806,0.00574255,0.02368427,0.02668772,0.0003936033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.16843,0.000002324274,0.8235532,0.0006785294,0.0001152706,0.00004277111,7.379267e-7,0.0002511038,0.006926096],"genre_scores_gemma":[0.9984176,0.00001328418,0.0003108377,0.000726696,0.00006818764,9.465175e-8,0.000002102229,0.00000282758,0.0004583431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9220168,"threshold_uncertainty_score":0.9998599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096666336981161,"score_gpt":0.1631329363780806,"score_spread":0.05346630267996447,"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."}}