{"id":"W6908619849","doi":"10.34847/cocoon.b78a2780-b783-4079-8a27-80b783f079fc","title":"Liste de mots en arem lue par un locuteur né à Thượng Trạch en 1956","year":2021,"lang":"fr","type":"article","venue":"","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Voice; Frame (networking); Acoustic phonetics; Voice-onset time; Deixis; Term (time)","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":[0.0002880086,0.0008681738,0.0003261549,0.003023961,0.001615267,0.000992486,0.0003863036,0.0003740854,0.1505934],"category_scores_gemma":[0.001539346,0.0001806379,0.0001694308,0.002230003,0.0004415555,0.0008625182,0.0005241847,0.0005420607,0.03066319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008246103,"about_ca_system_score_gemma":0.0007725672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758667,"about_ca_topic_score_gemma":0.02566378,"domain_scores_codex":[0.9997508,0.00004762146,0.00003840058,0.00004719579,0.00008101525,0.00003500143],"domain_scores_gemma":[0.9989791,0.0004078359,0.0001229188,0.00004621547,0.0003639641,0.00008005271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001051495,0.0000868405,0.02237985,0.002663064,0.00007128292,0.001395374,0.01156406,0.0001987812,0.0158361,0.02285912,0.6035091,0.318385],"study_design_scores_gemma":[0.00001643316,0.0001219299,0.0532917,0.000270648,0.00001368086,0.000815924,0.002649375,0.00008477282,0.001940832,0.0004107468,0.940361,0.00002303531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1438181,0.03105414,0.004992644,0.004904162,0.01058684,0.0003952594,0.2004328,0.001425343,0.6023908],"genre_scores_gemma":[0.3709245,0.01076739,0.006086264,0.0005943215,0.001979128,0.0003638444,0.08021215,0.0005839557,0.5284884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1505934,"threshold_uncertainty_score":0.5037853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767463759142584,"score_gpt":0.2989399872598048,"score_spread":0.2812653496683789,"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."}}