{"id":"W6890102774","doi":"10.34847/cocoon.f0bb34d8-96e7-4ad1-bb34-d896e74ad16b","title":"Liste de mots en rục lue par une locutrice née à Mò O Ồ Ồ en 1950","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008627492,0.0002082578,0.0004248611,0.00003107177,0.001877176,0.0000437679,0.0006488144,0.0003201764,0.0008264174],"category_scores_gemma":[0.0003680855,0.0001968862,0.0002308006,0.0008900285,0.00124583,0.0003120624,0.0004198493,0.0004340354,0.0002093722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285205,"about_ca_system_score_gemma":0.0003565794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03793416,"about_ca_topic_score_gemma":0.01032558,"domain_scores_codex":[0.9982293,0.000289694,0.0001910097,0.0002884672,0.0004511246,0.0005504207],"domain_scores_gemma":[0.9981197,0.0008191363,0.0002308225,0.0002559373,0.0003918391,0.00018261],"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":[0.0001370606,0.0003426743,0.01130814,0.0002851832,0.0009067865,0.0004415648,0.6660116,0.000176744,0.0001704299,0.2394291,0.06717072,0.01362],"study_design_scores_gemma":[0.0009314651,0.00009802619,0.03204216,0.0002065127,0.0006541063,0.00001269811,0.3339632,0.0005456879,0.0001270725,0.01130807,0.6196358,0.000475274],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8107508,0.009641955,0.000678956,0.03616689,0.001302098,0.0003832853,0.00009127304,0.0000714351,0.1409133],"genre_scores_gemma":[0.9082257,0.01209639,0.000672158,0.0002167798,0.0005144058,4.409858e-7,0.00001944238,0.00000996676,0.07824477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.552465,"threshold_uncertainty_score":0.9994223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128200222381275,"score_gpt":0.2505300981289992,"score_spread":0.2292480959051865,"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."}}