{"id":"W3188621938","doi":"10.1111/lnc3.12435","title":"Remote sociophonetic data collection: Vowels and nasalization from self‐recordings on personal devices","year":2021,"lang":"en","type":"article","venue":"Language and Linguistics Compass","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Nasalization; Vowel; Laptop; Microphone; Computer science; Upload; Speech recognition; Telecommunications; World Wide Web; Sound pressure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001104146,0.0001142564,0.0001492738,0.00003908351,0.0002466796,0.0003880141,0.0002416148,0.00005291125,0.00002094411],"category_scores_gemma":[0.0003691203,0.0001138432,0.00001397922,0.0002047309,0.00002592671,0.00006118719,0.0002686678,0.0001165815,0.000005901044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001691556,"about_ca_system_score_gemma":0.00007148721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001625881,"about_ca_topic_score_gemma":0.00009904357,"domain_scores_codex":[0.9990681,0.00004110229,0.0001339301,0.0004367341,0.0001691172,0.0001509771],"domain_scores_gemma":[0.999266,0.0001671312,0.00007146226,0.0002999509,0.0001166431,0.00007887038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001700197,0.0007834657,0.03947094,0.001272269,0.0008650699,0.004235771,0.2517389,0.00007413127,0.02118722,0.01050433,0.0440763,0.6256216],"study_design_scores_gemma":[0.002464857,0.0002346367,0.01976183,0.0007068306,0.0001811535,0.0001644614,0.005501819,0.8358601,0.03727167,0.006332314,0.09023335,0.001287031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7358165,0.01063819,0.2420735,0.001356476,0.002411913,0.0001728548,0.00008579086,0.000468634,0.006976191],"genre_scores_gemma":[0.8934476,0.0001193322,0.1045177,0.0008944946,0.0007029761,6.194683e-7,0.0001005911,0.0000101685,0.0002065649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8357859,"threshold_uncertainty_score":0.4642389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200217256196578,"score_gpt":0.2699026181444026,"score_spread":0.2498808925247448,"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."}}