{"id":"W2067575620","doi":"10.1145/772862.772886","title":"MDM/KDD2002","year":2002,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Conjunction (astronomy); Knowledge extraction; Data science; Series (stratigraphy); Information retrieval; Data mining; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005616736,0.002311852,0.00350434,0.009831926,0.002148738,0.007460354,0.005816385,0.003082678,0.02823519],"category_scores_gemma":[0.01753741,0.001441848,0.002019803,0.007913313,0.0006011191,0.0044316,0.004614318,0.002766304,0.04392592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551625,"about_ca_system_score_gemma":0.003116563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007160733,"about_ca_topic_score_gemma":0.007915754,"domain_scores_codex":[0.9932119,0.0009729071,0.0006590746,0.0007721998,0.004033761,0.0003500833],"domain_scores_gemma":[0.9925712,0.001066382,0.0001944889,0.0030609,0.002610338,0.0004966406],"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":[0.0001288439,0.00009661775,0.000518774,0.000438071,0.0001244148,0.0001127965,0.00004041995,0.002436752,0.0003751926,0.004833978,0.8421062,0.1487879],"study_design_scores_gemma":[0.0001327462,0.00003842268,0.0009465482,0.0001370609,0.00005762353,0.0004189527,0.00007865416,0.02519308,0.002918023,0.02040398,0.9496248,0.00005014633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009912218,0.02000324,0.3355142,0.02069417,0.0148027,0.002056382,0.30064,0.1743626,0.1220144],"genre_scores_gemma":[0.03283739,0.01052741,0.3438961,0.003487657,0.001768438,0.00205232,0.545409,0.007939018,0.05208261],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02823519,"threshold_uncertainty_score":0.09445614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07236190396419816,"score_gpt":0.2474651348445299,"score_spread":0.1751032308803317,"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."}}