{"id":"W2500859016","doi":"10.3726/978-3-0352-0314-1/26","title":"QU.IT. une ressource électronique mise à disposition des traducteurs italiens pour « comprendre » la dia-variation du français (québécois)","year":2016,"lang":"fr","type":"book-chapter","venue":"Peter Lang eBooks","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","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":[0.001401733,0.0005130079,0.0002432792,0.00114443,0.005862703,0.006416507,0.0007862261,0.002176514,0.02875879],"category_scores_gemma":[0.001789829,0.0003973544,0.000378382,0.002108894,0.005644997,0.00402989,0.0009596111,0.002297535,0.003449536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01734699,"about_ca_system_score_gemma":0.01327015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8222623,"about_ca_topic_score_gemma":0.8817148,"domain_scores_codex":[0.9991646,0.0001588912,0.0000263089,0.0001822662,0.0002736399,0.0001943525],"domain_scores_gemma":[0.999392,0.0001090887,0.00003295311,0.00006644787,0.0003559255,0.00004349467],"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":[0.00008893956,0.00001523772,0.001953928,0.0001752758,0.00002168445,0.0004586224,0.03607039,0.000215402,0.002168127,0.6955974,0.1628053,0.1004297],"study_design_scores_gemma":[0.0000101997,0.00001098944,0.004156861,0.0001765623,0.00001259181,0.0001867,0.005780451,0.0001121694,0.0007283735,0.01333726,0.9754606,0.00002709929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03494966,0.02735423,0.01337942,0.06872379,0.005645542,0.00009641529,0.00155549,0.0002784064,0.8480171],"genre_scores_gemma":[0.15276,0.003642175,0.00324728,0.004250873,0.0003258094,0.00004971815,0.0002189986,0.0002613254,0.8352438],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1777377,"threshold_uncertainty_score":0.3575687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105987903442638,"score_gpt":0.2304800544347279,"score_spread":0.2094201754003016,"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."}}