{"id":"W6965620854","doi":"10.34847/cocoon.780960ec-247d-4330-8960-ec247dc3303c","title":"Liste de mots en rục lue par une locutrice née à Mò O Ồ Ồ en 1999","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); Southeast asia; Sound (geography); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002813573,0.0008813021,0.000396372,0.002796168,0.001215208,0.0009964169,0.0004075224,0.0004090078,0.2018288],"category_scores_gemma":[0.001345814,0.0001990178,0.0001725777,0.002011525,0.0002817022,0.0007375027,0.0005176549,0.000507858,0.04265421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008229084,"about_ca_system_score_gemma":0.000790599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247059,"about_ca_topic_score_gemma":0.03208183,"domain_scores_codex":[0.9997665,0.00003221718,0.00003212906,0.00005471229,0.00007827285,0.00003608097],"domain_scores_gemma":[0.9989361,0.000391867,0.0001170015,0.00003640701,0.0004191831,0.00009941896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001107369,0.0001122028,0.01389552,0.002732499,0.00005020921,0.00178132,0.004927643,0.0001714667,0.02239062,0.008044755,0.7246398,0.2201466],"study_design_scores_gemma":[0.00002114964,0.0001032056,0.04953382,0.0002749288,0.00001430681,0.001038095,0.001982291,0.0001045534,0.002325793,0.0001892615,0.9443903,0.00002235503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.11489,0.01805916,0.003952067,0.003515086,0.007969048,0.0005160379,0.3226803,0.001590375,0.526828],"genre_scores_gemma":[0.2761336,0.007644775,0.008271011,0.0008310449,0.001611009,0.0004553247,0.2325534,0.001011684,0.4714881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2018288,"threshold_uncertainty_score":0.6751845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074028255919023,"score_gpt":0.2491337749467957,"score_spread":0.2283934923876055,"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."}}