{"id":"W6927473562","doi":"10.34847/cocoon.f0b5fafc-3f0e-40d2-b5fa-fc3f0ec0d2d8","title":"Liste de mots en arem lue par un locuteur né à Thượng Trạch en 1956","year":2019,"lang":"fr","type":"other","venue":"The COCOON platform (University of Paris)","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological 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":[0.000363183,0.001014398,0.0003622589,0.002876273,0.001401685,0.001358549,0.0003809633,0.0005517598,0.2405003],"category_scores_gemma":[0.00227016,0.0002085492,0.0002097011,0.002131704,0.0004492893,0.001131672,0.0007158093,0.0006375181,0.07366353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062849,"about_ca_system_score_gemma":0.000939699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380022,"about_ca_topic_score_gemma":0.01852704,"domain_scores_codex":[0.9996812,0.00005978153,0.00003526596,0.00006897381,0.0001242024,0.00003058984],"domain_scores_gemma":[0.9989049,0.0003961267,0.00009555288,0.00005272917,0.0004611983,0.00008953339],"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":[0.0002759768,0.0000364392,0.003203245,0.001295699,0.00001809947,0.0004175548,0.002473656,0.000085023,0.00490398,0.01235961,0.79171,0.1832207],"study_design_scores_gemma":[0.00001066725,0.0000410283,0.01006944,0.0001676385,0.000005294214,0.0003424695,0.0007517408,0.000082602,0.001093378,0.0004257596,0.9869982,0.00001196266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02873941,0.02070773,0.006359803,0.005581819,0.01086166,0.0003786248,0.1941745,0.003122797,0.7300736],"genre_scores_gemma":[0.1476724,0.008493031,0.009390825,0.0008723121,0.002580866,0.0004604962,0.1083541,0.001624335,0.7205517],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2405003,"threshold_uncertainty_score":0.8045538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371639910447693,"score_gpt":0.1874594793501322,"score_spread":0.1737430802456553,"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."}}