{"id":"W2122949122","doi":"10.1145/507515.507524","title":"MDM/KDD","year":2002,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Data science; Work (physics); Information retrieval; World Wide Web","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":[0.004280315,0.00136471,0.002630912,0.008692591,0.001884302,0.00835224,0.004285601,0.002396629,0.06591492],"category_scores_gemma":[0.01683063,0.000991069,0.001399182,0.006152758,0.0007946876,0.005146033,0.005635313,0.001919479,0.07017294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061165,"about_ca_system_score_gemma":0.002035378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137613,"about_ca_topic_score_gemma":0.002999631,"domain_scores_codex":[0.9930457,0.0009516705,0.0006179529,0.001050482,0.003977829,0.000356396],"domain_scores_gemma":[0.9930131,0.001037075,0.0002387689,0.003425978,0.001853718,0.0004313618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002000347,0.0001137823,0.001570188,0.0009662665,0.0001606297,0.0001974617,0.00008883083,0.002583215,0.001075985,0.01759438,0.6694021,0.3060472],"study_design_scores_gemma":[0.00008239333,0.00003427221,0.001247162,0.0001776456,0.00004491883,0.0006399453,0.0001699353,0.01906053,0.003562905,0.03440709,0.9405256,0.00004752208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009459023,0.01625342,0.4069296,0.02064378,0.01227831,0.001708729,0.1546187,0.1154664,0.262642],"genre_scores_gemma":[0.103515,0.01608327,0.5283687,0.005693034,0.003774759,0.002329188,0.2256157,0.009914721,0.1047057],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06591492,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0716650625786421,"score_gpt":0.2493575275794745,"score_spread":0.1776924650008325,"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."}}