{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001090952,0.0001065077,0.00008873243,0.000181274,0.0001420136,0.00003474632,0.0008240129,0.00006188701,0.00003093157],"category_scores_gemma":[0.00004604923,0.00007116895,0.00009917557,0.0005514048,0.00006860631,0.000640693,0.0000112297,0.0001215594,0.0000682774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001919746,"about_ca_system_score_gemma":0.00002194639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002305728,"about_ca_topic_score_gemma":0.000002993414,"domain_scores_codex":[0.999198,0.00002721506,0.0001295335,0.0002679586,0.0001846699,0.0001926048],"domain_scores_gemma":[0.9986379,0.0002115673,0.0000325568,0.000981026,0.00006549383,0.00007151805],"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":[0.000009135089,0.00007680529,0.00003485618,0.000003094051,0.00001403818,0.000007541119,0.00003932503,0.000001347096,0.003960569,0.0369623,0.0003726401,0.9585183],"study_design_scores_gemma":[0.0006091316,0.0004576886,0.0007286373,0.00007965082,0.00001224902,0.00003228245,0.000006279748,0.0001084617,0.4642226,0.436942,0.09638162,0.0004193901],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002845213,0.00004220776,0.993833,0.004620692,0.0001536301,0.00008461172,0.000005067075,0.0005746441,0.0004016198],"genre_scores_gemma":[0.8177306,0.001101141,0.1786202,0.001703796,0.00002833785,0.00003395429,3.078534e-7,0.00001641781,0.0007652498],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9580989,"threshold_uncertainty_score":0.2902185,"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."}}