{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006774475,0.0005807244,0.0008120928,0.0000846519,0.0006210703,0.00007967844,0.002149611,0.0009191662,0.009888657],"category_scores_gemma":[0.0000547784,0.0003138086,0.0004504563,0.0006391389,0.0007292833,0.0003492891,0.0008057504,0.0008267872,0.001773025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996036,"about_ca_system_score_gemma":0.0001129882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005931025,"about_ca_topic_score_gemma":0.003032151,"domain_scores_codex":[0.9973832,0.0003457403,0.0002782831,0.0007039012,0.000498143,0.0007907597],"domain_scores_gemma":[0.9975865,0.0009709553,0.0006108677,0.000398291,0.000178186,0.0002551645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003861312,0.002291625,0.0630042,0.001192803,0.004788496,0.0005788259,0.03565487,0.0004551729,0.2218785,0.04943631,0.1758648,0.440993],"study_design_scores_gemma":[0.001198809,0.0009537185,0.2316127,0.0004906062,0.0005357185,0.00006133551,0.0151295,0.001321336,0.001723839,0.001435075,0.7443596,0.001177772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.789938,0.001310943,0.0002236427,0.005068145,0.0007229117,0.00119961,0.0002476011,0.0001325556,0.2011566],"genre_scores_gemma":[0.6592842,0.001542284,0.0004306912,0.0002704936,0.0005408905,0.000001284016,0.0001246278,0.00002249197,0.3377831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5684948,"threshold_uncertainty_score":0.9999314,"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."}}