{"id":"W2253268269","doi":"10.1145/2897824.2925939","title":"RAID","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Engineering and Physical Sciences Research Council; King Abdullah University of Science and Technology","keywords":"Computer science; RAID; Sketch; Robustness (evolution); Bridging (networking); Artificial intelligence; ENCODE; Segmentation; Relation (database); Pattern recognition (psychology); Data mining; Information retrieval; Computer vision; 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":[0.00139539,0.001336995,0.00139331,0.002400529,0.0009298477,0.004432399,0.002888434,0.001643708,0.04762373],"category_scores_gemma":[0.006384892,0.0007184017,0.001120254,0.002071549,0.0006728086,0.004770042,0.0044002,0.001553471,0.04647801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000931115,"about_ca_system_score_gemma":0.001528935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003632004,"about_ca_topic_score_gemma":0.005070769,"domain_scores_codex":[0.997824,0.0002447315,0.0002274325,0.0005515119,0.0009266349,0.0002257696],"domain_scores_gemma":[0.9979591,0.0002723065,0.000129141,0.0009898043,0.0005219318,0.0001275951],"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":[0.0009441154,0.0001929181,0.002818679,0.001314332,0.0001366957,0.000243946,0.0004027,0.008157531,0.01532517,0.06292038,0.3375044,0.570039],"study_design_scores_gemma":[0.0001200811,0.0002465413,0.001575661,0.0001845173,0.0000827576,0.001592045,0.000399369,0.08040831,0.01993355,0.04358611,0.8516992,0.0001718836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01430492,0.006952374,0.7430283,0.001170397,0.001386768,0.001128645,0.02809,0.09453518,0.1094034],"genre_scores_gemma":[0.1499494,0.004686273,0.6531917,0.001756618,0.0004716751,0.001442805,0.08737007,0.007381086,0.09375038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04762373,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436407516831118,"score_gpt":0.2803054725153463,"score_spread":0.2559413973470351,"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."}}