{"id":"W6965350154","doi":"10.34847/cocoon.8249ba44-9e6e-4b11-89ba-449e6e8b116c","title":"Liste de mots en rục lue par un locuteur né à Mò O Ồ Ồ en 1961","year":2021,"lang":"fr","type":"article","venue":"The COCOON platform (University of Paris)","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Voice; Frame (networking); Acoustic phonetics; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008488144,0.000209101,0.0004078717,0.00002592174,0.001883904,0.00004453717,0.000652716,0.000313947,0.000928429],"category_scores_gemma":[0.0003386705,0.0001971392,0.0002384679,0.000510615,0.001188795,0.0002893282,0.0004527773,0.0004221982,0.0002560896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742047,"about_ca_system_score_gemma":0.0003290481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414215,"about_ca_topic_score_gemma":0.005038368,"domain_scores_codex":[0.9982377,0.0003183763,0.0001842881,0.0002863144,0.0004303288,0.0005429657],"domain_scores_gemma":[0.9983665,0.0006403681,0.0002117704,0.0002591587,0.0003400356,0.0001821363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001444968,0.0003178251,0.01327451,0.0002274971,0.001090917,0.000501042,0.6195954,0.0001269218,0.0001621678,0.3041604,0.0378001,0.0225988],"study_design_scores_gemma":[0.001004871,0.0001263687,0.02727025,0.0002091226,0.0006881873,0.00001607956,0.2897157,0.0006250236,0.0002445766,0.01176071,0.6678186,0.0005205471],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770589,0.007465892,0.0007120077,0.01886345,0.001261469,0.0003598419,0.00009353728,0.00007517701,0.09410973],"genre_scores_gemma":[0.9035491,0.009015863,0.0007971264,0.0002380426,0.0004889388,4.534621e-7,0.00001449611,0.00001063826,0.08588531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6300185,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070688665666757,"score_gpt":0.2425501897905371,"score_spread":0.2218433031338696,"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."}}