{"id":"W2039760999","doi":"10.1145/380995.381054","title":"Report on MDM/KDD2000","year":2000,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Library science; Computer science; 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":[0.008331763,0.001751476,0.001526762,0.006836616,0.001576617,0.005989876,0.003133589,0.001757236,0.1530601],"category_scores_gemma":[0.01894994,0.000706418,0.0009306782,0.005960707,0.0004801991,0.004888448,0.00358117,0.002004829,0.1890418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183932,"about_ca_system_score_gemma":0.003771511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009454688,"about_ca_topic_score_gemma":0.008069629,"domain_scores_codex":[0.9935681,0.0007583573,0.0003978781,0.0008117711,0.004075146,0.0003888296],"domain_scores_gemma":[0.9820747,0.00165507,0.0003162716,0.00369694,0.01015488,0.002102148],"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":[0.0001297546,0.0001003864,0.0002517113,0.0001036708,0.00001402778,0.00003027178,0.00001871726,0.0002022399,0.0004784981,0.001616446,0.9182311,0.07882307],"study_design_scores_gemma":[0.00004906712,0.00004190286,0.0006857741,0.00005802642,0.00001292616,0.00005234157,0.00003374923,0.0008921779,0.001689017,0.001654089,0.9948178,0.00001301547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01065248,0.02142335,0.09096522,0.04937772,0.05367302,0.003515792,0.2750656,0.03650503,0.4588218],"genre_scores_gemma":[0.01625372,0.01106213,0.06689351,0.005005975,0.007335693,0.001424988,0.4198779,0.007038139,0.4651079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1530601,"threshold_uncertainty_score":0.512037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370207834165126,"score_gpt":0.2762263369441018,"score_spread":0.2425242586024506,"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."}}