{"id":"W4319045532","doi":"","title":"La monotonie de la ponctuation : Meursault entre voix et texte","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005133648,0.00142798,0.001108106,0.003225669,0.007497327,0.009834196,0.001568349,0.003129998,0.01658871],"category_scores_gemma":[0.01865843,0.001855857,0.001681067,0.002795096,0.01526499,0.02099387,0.006254341,0.01203256,0.002784299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005905031,"about_ca_system_score_gemma":0.002812104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907139,"about_ca_topic_score_gemma":0.009288144,"domain_scores_codex":[0.9911742,0.004123723,0.0003520887,0.002046913,0.001695181,0.0006079308],"domain_scores_gemma":[0.9926956,0.004689676,0.000320916,0.0009591361,0.001060701,0.0002740162],"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":[0.00009541787,0.00001063078,0.000455746,0.00007311248,0.00001876059,0.0002870257,0.009270321,0.0002023932,0.002616851,0.9706527,0.002507979,0.01380891],"study_design_scores_gemma":[0.0001027666,0.0001132705,0.005860365,0.0003135004,0.00009740721,0.002408991,0.0139638,0.008442277,0.01359194,0.6556848,0.2992509,0.0001700175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1015373,0.005921391,0.5080298,0.02414004,0.003763885,0.0002345609,0.0006530342,0.001780022,0.35394],"genre_scores_gemma":[0.875178,0.001605802,0.04729031,0.0009752929,0.001767243,0.0002267494,0.0002692133,0.001361055,0.07132632],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01907139,"threshold_uncertainty_score":0.05549479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537064565182149,"score_gpt":0.2563104795856769,"score_spread":0.2409398339338554,"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."}}