{"id":"W4237280307","doi":"10.31234/osf.io/tb647","title":"Articulatory variability is reduced by repetition and predictability","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Predictability; Articulation (sociology); Repetition (rhetorical device); Kinematics; Gesture; Contrast (vision); Movement (music); Speech recognition; Computer science; Word (group theory); Duration (music); German; Psychology; Linguistics; Mathematics; Acoustics; Artificial intelligence; Statistics","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":[0.000573048,0.000303907,0.0004032526,0.000314791,0.0002161181,0.0006686199,0.0003130193,0.0004719887,0.002970595],"category_scores_gemma":[0.005528245,0.0004471982,0.0002991251,0.0001404547,0.0005807675,0.0003764139,0.000893481,0.0005264477,0.0003824758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001497701,"about_ca_system_score_gemma":0.0002277406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005999251,"about_ca_topic_score_gemma":0.0006365211,"domain_scores_codex":[0.9992386,0.0001186973,0.00005139765,0.0001794074,0.0003036978,0.0001082121],"domain_scores_gemma":[0.9963261,0.001771272,0.0008611328,0.0006273405,0.0001886215,0.0002255681],"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":[0.0005786581,0.00007480865,0.01846342,0.00006800255,0.00006023548,0.0001618768,0.0004288939,0.0005765148,0.9629103,0.0001501137,0.00008034006,0.01644691],"study_design_scores_gemma":[0.00004155267,0.0008349066,0.9156278,0.00001370775,0.00008754011,0.0007386814,0.0002416882,0.004410199,0.07654827,0.0007212674,0.0006867961,0.00004750033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971958,0.0001411603,0.001452891,0.00003029597,0.000007078783,0.000006958956,0.00003479338,0.00004350994,0.001087295],"genre_scores_gemma":[0.9988505,0.00004404531,0.0005970614,0.00001206172,0.000009033274,0.000009340665,0.00005782054,0.00002458775,0.0003956147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002970595,"threshold_uncertainty_score":0.009937644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647728393521156,"score_gpt":0.3413807143474528,"score_spread":0.3149034304122413,"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."}}