{"id":"W3209365819","doi":"10.1145/3459637.3482458","title":"Norma","year":2021,"lang":"en","type":"article","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Discriminative model; Computer science; Artificial intelligence; Centroid; Domain (mathematical analysis); Cluster analysis; Pattern recognition (psychology); Class (philosophy); Feature (linguistics); Process (computing); Machine learning; Adaptation (eye); Image (mathematics); Feature extraction; Domain adaptation; Feature learning; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005691355,0.00002498566,0.00002903313,0.00001442559,0.00004017805,0.00008441859,0.0001446969,0.0000104124,0.0003788338],"category_scores_gemma":[0.00002404329,0.00002281096,0.00001780622,0.0001688721,0.000004699562,0.0001689448,0.00007442485,0.00003588544,0.0005255808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004653678,"about_ca_system_score_gemma":0.00003330303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002440659,"about_ca_topic_score_gemma":0.000003097407,"domain_scores_codex":[0.9996702,0.00001869408,0.00004938378,0.0001014288,0.0000843607,0.00007590735],"domain_scores_gemma":[0.9997312,0.00002240595,0.000009571655,0.0001638138,0.00003694508,0.00003607569],"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":[2.681776e-7,0.00001596756,0.0004395126,0.000001486868,0.000003418148,0.00004612368,0.0003869814,0.0001049936,0.001288811,0.8748606,0.003695825,0.119156],"study_design_scores_gemma":[0.0003587688,0.00001854904,0.01341803,0.0000048719,0.00000124919,0.00007545612,0.0002491802,0.1491027,0.01056937,0.005888878,0.8201171,0.0001958217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009534542,0.00002767923,0.7483853,0.00144294,0.0001222219,0.000006888002,2.479411e-8,0.00009838987,0.2489631],"genre_scores_gemma":[0.66467,0.000007047682,0.290843,0.004380411,0.00003427194,0.000001526112,0.000001103539,0.000002805217,0.0400599],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8689718,"threshold_uncertainty_score":0.6755453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300406056036844,"score_gpt":0.225466567849794,"score_spread":0.2124625072894255,"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."}}