{"id":"W4362503760","doi":"10.4000/afas.7496","title":"Les données orales en linguistique","year":2022,"lang":"fr","type":"article","venue":"Bulletin de l’AFAS","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001365251,0.0003322347,0.0003097056,0.0001631672,0.0007372092,0.0004937568,0.002174409,0.0002170383,0.003747558],"category_scores_gemma":[0.0006941222,0.0003693909,0.0001628129,0.0003927861,0.0002088533,0.00008799018,0.001700968,0.001231146,0.0002218443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180907,"about_ca_system_score_gemma":0.0002882923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003275732,"about_ca_topic_score_gemma":0.0000561993,"domain_scores_codex":[0.996868,0.0008030293,0.000386417,0.0006918645,0.0005198091,0.0007308942],"domain_scores_gemma":[0.9983386,0.0004289866,0.0002061821,0.000686834,0.0001732871,0.000166058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004393167,0.000302073,0.0008118554,0.000378612,0.00004829383,0.001640234,0.005740593,0.000169494,0.001242422,0.6367926,0.195804,0.1570259],"study_design_scores_gemma":[0.0001786266,0.0001913636,0.0001133038,0.0001615956,0.00002521966,0.000489713,0.000141823,0.001482408,0.005821384,0.03518695,0.9557397,0.0004679449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01105923,0.3398796,0.2950996,0.3215871,0.004598832,0.001010698,0.0001270127,0.003583152,0.02305482],"genre_scores_gemma":[0.3419133,0.0003601295,0.618112,0.003331691,0.0008884926,0.0001405686,0.0000133367,0.00006503856,0.03517546],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7599357,"threshold_uncertainty_score":0.9998758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909608439266161,"score_gpt":0.2958536103558732,"score_spread":0.2667575259632116,"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."}}