{"id":"W2267034373","doi":"","title":"The Influence of Kinetographic Gestures on Real-Time Referential Interpretation","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gesture; Referent; Noun phrase; Object (grammar); Context (archaeology); Comprehension; Noun; Modality (human–computer interaction); Sentence; Verb; Phrase; Linguistics; Identification (biology); Communication; Perception; Psychology; Computer science; Natural language processing; 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":[0.00136545,0.0005894183,0.0003275259,0.0003639544,0.0004135256,0.002246938,0.0005183988,0.0005385736,0.0052313],"category_scores_gemma":[0.01844026,0.0005346977,0.0002954446,0.0002269914,0.001412196,0.001527404,0.001637335,0.0006450483,0.0004866171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003866879,"about_ca_system_score_gemma":0.0003556808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319683,"about_ca_topic_score_gemma":0.0009983996,"domain_scores_codex":[0.9986405,0.0004968916,0.0001026856,0.0003124844,0.0002839435,0.0001634651],"domain_scores_gemma":[0.9917526,0.006390003,0.000616967,0.0007465617,0.0002665741,0.0002272134],"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":[0.001397388,0.00006561389,0.006254934,0.0002961462,0.00002408847,0.0006347826,0.007335913,0.0007010128,0.9452414,0.003553023,0.0001479594,0.03434771],"study_design_scores_gemma":[0.0005976291,0.003745153,0.4975173,0.0004970807,0.0004966414,0.002433919,0.01450236,0.0197386,0.4282199,0.01998141,0.01191291,0.000357157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739674,0.0003502895,0.009887867,0.0001021424,0.0000516543,0.00008684009,0.0001278443,0.0001972051,0.01522867],"genre_scores_gemma":[0.993701,0.0001820438,0.005003126,0.00004006621,0.00001297865,0.00006440545,0.00006564923,0.0001615719,0.0007690109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0052313,"threshold_uncertainty_score":0.0175004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119520814653546,"score_gpt":0.2856387133894669,"score_spread":0.2744435052429314,"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."}}