{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002424614,0.0001629373,0.0002686831,0.001079201,0.0004838256,0.0001025975,0.002046346,0.0002013377,0.0001126427],"category_scores_gemma":[0.000619338,0.0001491933,0.00006907218,0.001120179,0.000636676,0.001401711,0.001014525,0.0006955153,0.0007327496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426338,"about_ca_system_score_gemma":0.002749002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04510565,"about_ca_topic_score_gemma":0.01820718,"domain_scores_codex":[0.9972126,0.0003629846,0.0003129936,0.0002131135,0.001567021,0.0003312413],"domain_scores_gemma":[0.9978985,0.0002566611,0.0003989325,0.0005113008,0.0008105898,0.0001240371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000592084,0.00003061929,0.0002824528,0.0004110919,0.0001236533,0.00006163455,0.009633359,0.007601976,0.000001499553,0.3604336,0.6136765,0.007684339],"study_design_scores_gemma":[0.0007271243,0.00004291873,0.0003304612,0.0006858372,0.000003504741,0.00001612037,0.00506971,0.06464116,7.822518e-7,0.0001279543,0.9281901,0.0001643492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00007644798,0.0001732374,0.2513732,0.001101359,0.0004613338,0.0005232884,0.00005367816,0.0001577611,0.7460797],"genre_scores_gemma":[0.5710828,0.0001355273,0.02469161,0.00005957101,0.0004749977,0.00001909845,0.0002898881,0.00009919716,0.4031473],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5710064,"threshold_uncertainty_score":0.999708,"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."}}