{"id":"W7037213525","doi":"","title":"Deep Representation Learning of 3D Human Motion with Recurrent Neural Networks","year":2021,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Representation (politics); Video recording; Human motion","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002632838,0.0004601887,0.0006562413,0.00002493585,0.0006068022,0.0001337991,0.0004095059,0.0005372846,0.003410979],"category_scores_gemma":[0.0000924133,0.000252195,0.0002536353,0.000925994,0.0002612553,0.00008392706,0.0002760671,0.0007769545,0.000007066454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271964,"about_ca_system_score_gemma":0.00001242648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01954623,"about_ca_topic_score_gemma":0.04352754,"domain_scores_codex":[0.9972781,0.0003242421,0.0006365798,0.000749529,0.0003672801,0.0006442764],"domain_scores_gemma":[0.9983523,0.0001968017,0.0007285869,0.000280177,0.0002104098,0.0002317124],"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":[0.00006159618,0.0006839905,0.09013683,0.00008697026,0.0001899082,0.00002328001,0.0001049199,0.04091984,0.007949541,0.01584031,0.0007711946,0.8432316],"study_design_scores_gemma":[0.0005128753,0.001164694,0.4249328,0.0005874974,0.0002704089,0.00006019886,0.0006606464,0.5349893,0.0005422424,0.0002817966,0.0349421,0.001055476],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3305636,0.03563336,0.5850666,0.02049932,0.0006566363,0.004545329,0.00009562225,0.000866435,0.02207309],"genre_scores_gemma":[0.9595724,0.002376918,0.008334934,0.000437199,0.001133958,0.0006409189,0.0005785189,0.00004943421,0.02687577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8421761,"threshold_uncertainty_score":0.999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689610603862765,"score_gpt":0.2404272700726084,"score_spread":0.2235311640339807,"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."}}