{"id":"W1927326449","doi":"10.1109/hicss.1998.649223","title":"Using metadata to query passive data sources","year":2002,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Metadata; Information retrieval; World Wide Web; The Internet; Metadata repository; Popularity; Data element; Data extraction; Data management; Database","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":[0.0001825464,0.0000875135,0.0001329033,0.0001130844,0.0001117304,0.0005274333,0.00282039,0.00002106397,0.000150815],"category_scores_gemma":[0.00009575529,0.00006942236,0.00002663924,0.0005336314,0.00001515391,0.001983515,0.002009398,0.00005226849,0.0002653507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009561978,"about_ca_system_score_gemma":0.00001262502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003306786,"about_ca_topic_score_gemma":0.00005682469,"domain_scores_codex":[0.9988968,0.00003892797,0.0001417344,0.0005113058,0.0002111912,0.0002000866],"domain_scores_gemma":[0.99743,0.00005548384,0.00004048525,0.002337542,0.00002666767,0.0001098588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000251246,0.0003054866,0.003223903,0.00002065814,0.0005219633,0.0001636217,0.002057017,0.001972887,0.004702594,0.03184057,0.4826349,0.4725539],"study_design_scores_gemma":[0.00007120792,0.00001507927,0.0001222469,0.00001197896,0.00003918949,0.0000135742,0.0001193007,0.9030122,0.0008524018,0.0000757888,0.09544435,0.0002226958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007125151,0.0001029934,0.9887127,0.00198275,0.00008141711,0.000029165,0.00004505015,0.0001128815,0.001807839],"genre_scores_gemma":[0.2917197,0.00001707551,0.6995032,0.002155005,0.0001577555,0.000001739684,0.000055517,0.000009552103,0.006380359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9010393,"threshold_uncertainty_score":0.5241032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2351388666537689,"score_gpt":0.3190759787592714,"score_spread":0.08393711210550248,"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."}}