{"id":"W4389518749","doi":"10.18653/v1/2023.emnlp-main.297","title":"EDIS: Entity-Driven Image Search over Multimodal Web Content","year":2023,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Waterloo","funders":"","keywords":"Computer science; Information retrieval; Set (abstract data type); Image retrieval; Search engine; Image (mathematics); Ranking (information retrieval); Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282767,0.001489629,0.001297354,0.004072473,0.0006010277,0.00149436,0.001750233,0.001279702,0.004747941],"category_scores_gemma":[0.004476588,0.0002844922,0.001279083,0.002597102,0.0004209199,0.003356347,0.002306729,0.001058065,0.002870109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008922997,"about_ca_system_score_gemma":0.0008608047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009603654,"about_ca_topic_score_gemma":0.01760183,"domain_scores_codex":[0.9989673,0.0002121194,0.00008221622,0.0003242434,0.0003085722,0.0001055915],"domain_scores_gemma":[0.9986398,0.0004565641,0.0001056732,0.0004565839,0.0002433479,0.00009802211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00229923,0.001541437,0.01393106,0.002620887,0.0009124535,0.0009809429,0.0004487252,0.05515196,0.05437208,0.01337382,0.1760356,0.6783318],"study_design_scores_gemma":[0.0002312819,0.0006379057,0.01079652,0.00008014499,0.0001858918,0.001245663,0.000468926,0.8952203,0.03653035,0.01217879,0.04230337,0.0001208657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.309727,0.009580269,0.5113749,0.001931194,0.0006121671,0.002904061,0.09179199,0.05341918,0.0186593],"genre_scores_gemma":[0.431997,0.001266706,0.4073946,0.0006622285,0.0002913445,0.0008942826,0.1454333,0.000864941,0.01119558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009603654,"threshold_uncertainty_score":0.01909548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03877009136996899,"score_gpt":0.3183061662962966,"score_spread":0.2795360749263276,"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."}}