{"id":"W3082303080","doi":"","title":"Vous avez dit \"proéminence\" ?","year":2006,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Variation (astronomy); Prosody; Identification (biology); Computer science; Task (project management); Coding (social sciences); Speech recognition; Natural language processing; Artificial intelligence; Psychology; Statistics; Mathematics; Engineering; Biology","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","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.007636571,0.0008961192,0.0008010883,0.0003790581,0.0008122973,0.002251371,0.006373103,0.0008473119,0.0002115682],"category_scores_gemma":[0.002372427,0.0009657898,0.0004661363,0.001252269,0.00080563,0.0008146027,0.005519636,0.001894522,0.000266709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250123,"about_ca_system_score_gemma":0.0008262865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00857733,"about_ca_topic_score_gemma":0.002513047,"domain_scores_codex":[0.9879131,0.006548634,0.001184657,0.002137064,0.001154498,0.00106201],"domain_scores_gemma":[0.9866433,0.001855789,0.001237224,0.00502393,0.004850851,0.0003888924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007397988,0.0007722423,0.0007286047,0.0003393292,0.00006022384,0.00007896036,0.006012983,0.00004323351,0.003668576,0.7121426,0.009063876,0.2670819],"study_design_scores_gemma":[0.001133282,0.000002701503,0.003868102,0.01197178,0.0001882128,0.0003221832,0.00005946793,0.1543857,0.3111563,0.3051754,0.2083852,0.003351724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005426996,0.01533787,0.8785567,0.03676544,0.0008960579,0.0007628961,0.0000741589,0.001559857,0.06062001],"genre_scores_gemma":[0.1599992,0.0004796582,0.7524667,0.0003314041,0.00012887,0.0001349632,0.0003693476,0.00009391348,0.08599596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4069673,"threshold_uncertainty_score":0.9992793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459842852499484,"score_gpt":0.2409136394809372,"score_spread":0.2263152109559424,"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."}}