{"id":"W3191313977","doi":"","title":"Machine Learning in Expressive Gestural Interaction","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Human Motion and Animation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Human–computer interaction; Communication; Psychology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002245994,0.0007863131,0.001489231,0.0005572625,0.0004512315,0.002459393,0.0007831495,0.0009660803,0.007870244],"category_scores_gemma":[0.006228318,0.0002921216,0.0004828815,0.0005497155,0.001007505,0.002206757,0.001960683,0.003115952,0.001307165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008317141,"about_ca_system_score_gemma":0.0005102732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255577,"about_ca_topic_score_gemma":0.001335275,"domain_scores_codex":[0.9988363,0.0004631676,0.00005194887,0.0002441911,0.000330832,0.00007357388],"domain_scores_gemma":[0.9955083,0.00313011,0.00009160229,0.0005023119,0.0005698841,0.0001977585],"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":[0.0003738178,0.000528967,0.001042612,0.000797948,0.0002107033,0.0001396625,0.0006544812,0.04770347,0.009355892,0.1507667,0.07939535,0.7090303],"study_design_scores_gemma":[0.00006864408,0.000131906,0.002297439,0.0002604766,0.00009884739,0.0001933928,0.0002212317,0.5552817,0.01013427,0.2828456,0.1484056,0.00006095086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02099413,0.02031672,0.9194412,0.01291022,0.006225261,0.0001060986,0.0002794008,0.0008113114,0.01891575],"genre_scores_gemma":[0.5064855,0.01466332,0.3430933,0.002570881,0.007790367,0.0003528798,0.001510744,0.000990525,0.1225424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007870244,"threshold_uncertainty_score":0.02632862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416639549181979,"score_gpt":0.2282834105302611,"score_spread":0.2141170150384413,"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."}}