{"id":"W345678411","doi":"10.1007/978-0-387-39940-9_3109","title":"Multimedia Information Retrieval","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval","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":[0.0004422248,0.001220046,0.001362245,0.004083685,0.0006234979,0.003301749,0.001803086,0.001063265,0.1141152],"category_scores_gemma":[0.0009279648,0.0004607016,0.0005413727,0.004971245,0.0004738152,0.002783306,0.001242754,0.00104217,0.1434546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005706936,"about_ca_system_score_gemma":0.0006337267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113982,"about_ca_topic_score_gemma":0.002912052,"domain_scores_codex":[0.9995452,0.0000309301,0.00002660388,0.00008298619,0.0002815497,0.00003274971],"domain_scores_gemma":[0.9995736,0.00007649625,0.00001900063,0.0001003679,0.0001877191,0.00004280767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002623372,0.00004826386,0.00008188713,0.0005376046,0.00002746346,0.00007948453,0.00005555024,0.0003268891,0.007200695,0.009580668,0.2899083,0.692127],"study_design_scores_gemma":[0.000008599553,0.0000474127,0.000580484,0.0002367908,0.00002979828,0.0006828723,0.00004359806,0.002174623,0.005095155,0.009462681,0.9816079,0.00003008256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002816866,0.08766347,0.2100191,0.001592978,0.003189608,0.0006036335,0.005270303,0.0163889,0.6724551],"genre_scores_gemma":[0.01144654,0.03693504,0.08973558,0.001296748,0.001414644,0.0002209982,0.01031919,0.001405521,0.8472257],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1141152,"threshold_uncertainty_score":0.3817532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394352330624111,"score_gpt":0.2336334129246335,"score_spread":0.2196898896183924,"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."}}