{"id":"W2971000368","doi":"10.14778/3352063.3352080","title":"VISE","year":2019,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Pipeline (software); Interface (matter); Convolutional neural network; Nearest neighbor search; Scalability; Feature (linguistics); Image retrieval; Artificial intelligence; Frame (networking); Search engine; Computer vision; Information retrieval; Image (mathematics); Database","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":[0.0006562337,0.001110759,0.0007511735,0.001401669,0.0004675352,0.002094226,0.001886026,0.001182695,0.09931005],"category_scores_gemma":[0.002069899,0.0005120272,0.0006862388,0.0008719541,0.0003403777,0.003235223,0.002463375,0.001161865,0.06800454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004940957,"about_ca_system_score_gemma":0.0006369313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002737851,"about_ca_topic_score_gemma":0.004778514,"domain_scores_codex":[0.9994809,0.00005538412,0.00002794762,0.0001333489,0.0002253319,0.00007706995],"domain_scores_gemma":[0.9993373,0.0001034673,0.00002825922,0.0002106394,0.0002134655,0.0001069537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008353771,0.0002049454,0.001488316,0.000511467,0.0001147066,0.0002823713,0.0001250906,0.002374963,0.01626207,0.01257312,0.7030102,0.2622174],"study_design_scores_gemma":[0.0001820733,0.0002202647,0.001552855,0.00009198522,0.00003677208,0.0006169741,0.00006451461,0.0359474,0.02125374,0.009123646,0.9308019,0.0001078699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.0135585,0.003127722,0.2705194,0.001183334,0.001370986,0.0006183696,0.04767096,0.5072974,0.1546533],"genre_scores_gemma":[0.1287741,0.002844193,0.3355346,0.003218633,0.0006115645,0.0009094626,0.2379824,0.04530446,0.2448207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09931005,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005005524439825163,"score_gpt":0.2170886034700969,"score_spread":0.2120830790302718,"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."}}