{"id":"W2110848713","doi":"","title":"Linked Movie Data Base","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"RDF; Linked data; Computer science; Metadata; World Wide Web; Database; Cloud computing; Information retrieval; Semantic 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":[0.002279547,0.001135223,0.001316437,0.009172698,0.002382304,0.004542971,0.003260789,0.001734311,0.05562624],"category_scores_gemma":[0.01177542,0.0006135073,0.001234352,0.01216398,0.0004867681,0.004444783,0.003024695,0.002271866,0.0545899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688561,"about_ca_system_score_gemma":0.004182572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219722,"about_ca_topic_score_gemma":0.0193355,"domain_scores_codex":[0.9974771,0.0002437744,0.0003898303,0.0005379647,0.001176241,0.0001750658],"domain_scores_gemma":[0.9942124,0.0008623293,0.0003286765,0.001890593,0.002305038,0.0004009278],"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":[0.000391907,0.0002101716,0.002851417,0.001029533,0.0001487274,0.000363941,0.0002212132,0.00338327,0.002770453,0.02354164,0.8762167,0.08887093],"study_design_scores_gemma":[0.00009581556,0.0000347837,0.002718583,0.0001707599,0.00005976227,0.0002141263,0.0001414719,0.006007641,0.003036223,0.01133951,0.9761103,0.00007105207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002291016,0.0006623221,0.0221841,0.0006333678,0.0002919139,0.0005465515,0.9269494,0.01420679,0.03223465],"genre_scores_gemma":[0.005407311,0.000441893,0.01719744,0.0001661442,0.00005174465,0.000331784,0.9719924,0.0005859107,0.003825445],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05562624,"threshold_uncertainty_score":0.1860883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5971839626278773,"score_gpt":0.5128323344859844,"score_spread":0.0843516281418929,"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."}}