{"id":"W2982305100","doi":"","title":"Discriminative Quantization for Fast Similarity Search.","year":2019,"lang":"en","type":"article","venue":"Computer Vision and Pattern Recognition","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Discriminative model; Computer science; Artificial intelligence; Quantization (signal processing); Nearest neighbor search; Pattern recognition (psychology); Similarity (geometry); Algorithm","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":[0.0009465723,0.0005847243,0.001230716,0.00127753,0.0004323163,0.0009532016,0.001782722,0.0008892115,0.008965197],"category_scores_gemma":[0.006144609,0.0004021096,0.0003296992,0.002715444,0.0006825497,0.002307289,0.001464149,0.00133765,0.003605194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006345562,"about_ca_system_score_gemma":0.001092472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003877479,"about_ca_topic_score_gemma":0.007390764,"domain_scores_codex":[0.998957,0.0002818753,0.00007959898,0.0001677603,0.0003943112,0.0001194727],"domain_scores_gemma":[0.9987568,0.0004695208,0.00008093037,0.0003353514,0.0002922453,0.00006506766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005657442,0.0001623019,0.0005981424,0.0004021057,0.00006320569,0.0001100227,0.000120618,0.03168918,0.02340194,0.07973878,0.04745819,0.8156898],"study_design_scores_gemma":[0.0001545657,0.0003013024,0.001080273,0.00006887253,0.00003901468,0.0004890223,0.0001107664,0.8578441,0.01867905,0.09919511,0.02199333,0.00004465826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008038514,0.003207483,0.9836469,0.0002385371,0.0002664459,0.00009609431,0.0003925356,0.001490736,0.002622706],"genre_scores_gemma":[0.3032287,0.001516953,0.6827947,0.0003506785,0.0003388843,0.0002676297,0.0026608,0.0002294596,0.008612207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008965197,"threshold_uncertainty_score":0.02999157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03834193686331022,"score_gpt":0.3198599817939886,"score_spread":0.2815180449306784,"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."}}