{"id":"W7043384005","doi":"","title":"Statistical estimation of articulatory trajectories from the speech signal using dynamical and phonological constraints","year":2000,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"SIGNAL (programming language); Estimation; Statistical model; Estimation theory; Noise (video); Signal processing; Trajectory; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004313761,0.0003144626,0.0003399973,0.0007230376,0.0003768343,0.0006773049,0.000320178,0.0003476533,0.001008452],"category_scores_gemma":[0.003862941,0.0005127359,0.0004653011,0.000690128,0.0003045105,0.0005700538,0.0004072092,0.0007347552,0.0003320157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399658,"about_ca_system_score_gemma":0.001223929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147117,"about_ca_topic_score_gemma":0.03133164,"domain_scores_codex":[0.9998602,0.00003293383,0.000009119717,0.0000456978,0.00003454597,0.00001738761],"domain_scores_gemma":[0.9984548,0.001127347,0.00008900227,0.00007033921,0.0002110669,0.00004739035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008053666,0.0001977777,0.02339715,0.0002319932,0.000197318,0.0002589127,0.000338087,0.4012817,0.1291649,0.009988626,0.001416065,0.4327222],"study_design_scores_gemma":[0.00001406855,0.00003045886,0.01918348,0.000008504409,0.00002008316,0.00003766774,0.00002826265,0.9753076,0.003584488,0.001431367,0.0003358352,0.0000182816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5262804,0.0004890905,0.4698914,0.0002309117,0.00004739114,0.00005325763,0.0004886622,0.000483444,0.002035401],"genre_scores_gemma":[0.9236176,0.0002498571,0.07413248,0.00001617777,0.00002703789,0.00004487961,0.0007645481,0.0001103841,0.00103709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02147117,"threshold_uncertainty_score":0.04269236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008452029009595116,"score_gpt":0.2222447473209905,"score_spread":0.2137927183113954,"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."}}