{"id":"W6946687541","doi":"10.34847/cocoon.82f8e556-e153-4a8b-b8e5-56e1535a8b20","title":"Liste de mots en rục lue par une locutrice née à Mò O Ồ Ồ en 1966","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":[0.0002899134,0.00093469,0.0004041714,0.002630808,0.001470582,0.0008855707,0.0003480374,0.0003784959,0.1494531],"category_scores_gemma":[0.001342754,0.0001837877,0.0001924437,0.001882835,0.0003815961,0.0006619034,0.0005187362,0.0005674685,0.02952269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008736015,"about_ca_system_score_gemma":0.0007562563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044995,"about_ca_topic_score_gemma":0.02527368,"domain_scores_codex":[0.9997433,0.00004600566,0.00003961063,0.00005422317,0.00007911712,0.00003779129],"domain_scores_gemma":[0.9989679,0.0004109641,0.000127871,0.00004358751,0.0003572858,0.00009240457],"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":[0.002048157,0.0001209448,0.02292927,0.003093389,0.00008908292,0.002752351,0.008601536,0.0002417075,0.02730042,0.01392977,0.5914022,0.3274912],"study_design_scores_gemma":[0.00002240548,0.0001439278,0.0606076,0.0002664402,0.00001782057,0.001546765,0.002206257,0.00008331373,0.002980684,0.0002781299,0.9318203,0.00002634558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.178357,0.03217998,0.004722916,0.004079156,0.01055657,0.0004717348,0.273604,0.00169041,0.4943383],"genre_scores_gemma":[0.3692255,0.01004972,0.007791136,0.0007069196,0.002172866,0.0004230509,0.1278224,0.0008517199,0.4809567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1494531,"threshold_uncertainty_score":0.4999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125692665164756,"score_gpt":0.2503602603888745,"score_spread":0.2291033337372269,"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."}}