{"id":"W2986392312","doi":"10.1016/j.wocn.2019.100935","title":"Visible amplitude: Towards quantifying prominence in sign language","year":2019,"lang":"en","type":"article","venue":"Journal of Phonetics","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Sign language; Sign (mathematics); Movement (music); Computer science; Measure (data warehouse); American Sign Language; Amplitude; Speech recognition; Natural language processing; Linguistics; Acoustics; Mathematics; Data mining; Physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005382181,0.00006342881,0.000154387,0.0001287001,0.00001379841,0.00002561234,0.0002714675,0.00005852696,0.0004393793],"category_scores_gemma":[0.00004219868,0.00005596101,0.0000461632,0.0001627612,0.00001477358,0.00007366431,0.00003973806,0.0002807946,0.0001703138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004112096,"about_ca_system_score_gemma":0.00005044182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008098454,"about_ca_topic_score_gemma":0.00001224341,"domain_scores_codex":[0.9991744,0.0001020279,0.000337021,0.00006904045,0.0001635807,0.0001539144],"domain_scores_gemma":[0.9993808,0.0000690606,0.0001858237,0.0002698331,0.00005087096,0.00004366277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005772458,0.001816074,0.5450585,0.0001596055,0.0001512435,0.0002604594,0.08389033,0.0003171932,0.2378947,0.004014072,0.003685744,0.1221748],"study_design_scores_gemma":[0.001893294,0.0008136479,0.9842341,0.0002130929,0.00001829697,0.0001406264,0.004314333,0.0002980126,0.002860766,0.0004114016,0.004616903,0.0001855513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922225,0.0006409054,0.0003296579,0.0004189309,0.0004360195,0.00009866092,4.517834e-7,0.000007234152,0.005845668],"genre_scores_gemma":[0.9974436,0.00004596984,0.001641219,0.0000732265,0.00006456656,0.000001518912,6.310815e-7,0.000009698664,0.0007196309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4391756,"threshold_uncertainty_score":0.4810895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640371847951402,"score_gpt":0.3835610757692947,"score_spread":0.3271573572897807,"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."}}