{"id":"W2751056195","doi":"","title":"Motor Aspects of the Emergence of Oral Gestures for Speech: A Dynamic Approach","year":2015,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Connaught Fund; University of Toronto; Canada Research Chairs","keywords":"Gesture; Communication; Speech recognition; Computer science; Psychology; Neuroscience; Linguistics; Artificial intelligence; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089581,0.0003240384,0.0002647306,0.001090942,0.0004710455,0.001712713,0.0004384966,0.0004663063,0.002332361],"category_scores_gemma":[0.001628127,0.0003521409,0.0004675131,0.0002698949,0.001848826,0.001796944,0.001414144,0.0009819976,0.0003031048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008532481,"about_ca_system_score_gemma":0.0004778579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009419287,"about_ca_topic_score_gemma":0.0009851796,"domain_scores_codex":[0.9996438,0.00007080002,0.0000200859,0.00008736026,0.000128971,0.00004898125],"domain_scores_gemma":[0.9993045,0.0002581489,0.0001630844,0.00008076938,0.0001208517,0.00007266856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002699258,0.0001832414,0.04806387,0.0006244881,0.00008620061,0.003762495,0.01117411,0.01469874,0.3909813,0.2998392,0.0008365557,0.2294799],"study_design_scores_gemma":[0.00005955226,0.00111871,0.5532364,0.0005152224,0.0001609735,0.006831264,0.01110453,0.1192346,0.06156524,0.2038962,0.04199709,0.000280156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7329755,0.003317346,0.1644704,0.001587459,0.00006027957,0.0001000617,0.0002102259,0.0002650334,0.09701367],"genre_scores_gemma":[0.977214,0.001025585,0.01694441,0.00005428132,0.0000321611,0.00007158762,0.00006721322,0.00005704219,0.004533777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002332361,"threshold_uncertainty_score":0.007802546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.061594111410621,"score_gpt":0.4100194250647811,"score_spread":0.3484253136541601,"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."}}