{"id":"W6929086302","doi":"10.48448/agdv-n972","title":"Visually Grounded Reasoning across Languages and Cultures","year":2021,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Robustness (evolution); Focus (optics); Mandarin Chinese; Task (project management); Selection (genetic algorithm); Hierarchy; Salient; Set (abstract data type)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001078423,0.0004796175,0.0004813799,0.000385277,0.0004977371,0.0009399442,0.0008628473,0.000299363,0.001493385],"category_scores_gemma":[0.0006187571,0.0004112061,0.00006021798,0.001280619,0.002355521,0.0002453396,0.0007004349,0.0004308615,0.000477932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011338,"about_ca_system_score_gemma":0.0005035063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001791707,"about_ca_topic_score_gemma":0.00749424,"domain_scores_codex":[0.9962969,0.0000838268,0.0002772241,0.00124148,0.00117302,0.0009275832],"domain_scores_gemma":[0.9984332,0.00005825993,0.0003265207,0.0006853372,0.0002019902,0.0002946608],"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":[0.00005250553,0.0006393465,0.004282402,0.0006827835,0.0004095148,0.0009821533,0.008107327,0.00003379732,0.1321962,0.04191599,0.7658201,0.04487787],"study_design_scores_gemma":[0.001803335,0.000195506,0.005923025,0.00246544,0.0001311071,0.0005276299,0.01606575,0.003085713,0.002901169,0.0005462264,0.9636551,0.002700019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009250136,0.01297854,0.0003865445,0.0001939863,0.0006849353,0.0005884495,0.000505246,0.001312214,0.9740999],"genre_scores_gemma":[0.04713777,0.00038522,0.03810877,0.0006271279,0.001445737,0.00003445191,0.0005725391,0.00146466,0.9102237],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.197835,"threshold_uncertainty_score":0.999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809087555950293,"score_gpt":0.3951056225459018,"score_spread":0.3770147469863989,"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."}}