{"id":"W7034246359","doi":"","title":"The Tu/Ti Interrogative Morpheme in Québec French","year":2015,"lang":"en","type":"other","venue":"Institutional Research Information System (University of Udine)","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; Dysgeusia; TSG101; Liquation; Emperipolesis; Diafiltration; Triacetin; Durvalumab","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":[0.0006798079,0.0009232471,0.0004004286,0.001483573,0.004594402,0.003834202,0.0009018505,0.001509511,0.03941416],"category_scores_gemma":[0.003407627,0.000289881,0.0002473128,0.001834049,0.001887945,0.001579746,0.0009026952,0.001721232,0.002895948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02198088,"about_ca_system_score_gemma":0.00644532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8899789,"about_ca_topic_score_gemma":0.8942432,"domain_scores_codex":[0.9992248,0.0002367138,0.00003151176,0.0001640425,0.0002188405,0.0001240594],"domain_scores_gemma":[0.9988709,0.0004405724,0.00005569529,0.00008281822,0.0005056262,0.00004431464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001096264,0.0001267456,0.01194393,0.0007758635,0.0001315482,0.004849357,0.05555953,0.003570891,0.01710215,0.4577225,0.2923233,0.154798],"study_design_scores_gemma":[0.00005733257,0.00006100483,0.02653429,0.000383271,0.00005233944,0.00163864,0.01784848,0.006902016,0.009227634,0.006205915,0.9309246,0.0001644348],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3170481,0.003925146,0.01478331,0.009448035,0.001230996,0.0001751542,0.01240177,0.001246709,0.6397408],"genre_scores_gemma":[0.8646284,0.0006754257,0.002398766,0.0004979935,0.0001206357,0.00004405509,0.002068548,0.000490903,0.1290752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8899789,"threshold_uncertainty_score":0.2213379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037792895340663,"score_gpt":0.2926234658811382,"score_spread":0.2422455369277316,"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."}}