{"id":"W33063990","doi":"10.1021/acs.biomac.0c01098","title":"A Distributed and Multilingual Search System for Exploring Large Image Databases.","year":2003,"lang":"en","type":"article","venue":"ICWI","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Database; Distributed database; Information retrieval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004631824,0.00007990301,0.00009892417,0.00004526226,0.0001430129,0.0001122989,0.0002126017,0.00002041694,0.000002375605],"category_scores_gemma":[0.000126172,0.00007173485,0.00002946043,0.0001861956,0.00002538877,0.0004466748,0.00008913903,0.00006437154,0.00000865042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003556752,"about_ca_system_score_gemma":0.00004008863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007999702,"about_ca_topic_score_gemma":9.735754e-7,"domain_scores_codex":[0.9991841,0.00004559581,0.0001356026,0.0002692515,0.0001328582,0.0002326206],"domain_scores_gemma":[0.9993683,0.0000898125,0.00003276535,0.0003259965,0.0001130779,0.00007003774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003535728,0.0002904702,0.0009900917,0.0007986833,0.00004211961,0.00005934703,0.001355479,0.000001445956,0.07916635,0.8206549,0.001003698,0.09560208],"study_design_scores_gemma":[0.0006680425,0.00006348543,0.0003637774,0.00005988186,0.000006751642,0.00002248726,0.0004926819,0.02604891,0.9261963,0.0001462947,0.04571181,0.0002195553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01255847,0.0001217493,0.9862891,0.00008149599,0.00009585215,0.0002359918,0.0001017079,0.0003077,0.0002079725],"genre_scores_gemma":[0.905533,0.00001889121,0.09420254,0.00001849668,0.00002727544,0.00008901468,0.00002396206,0.000007863895,0.00007893308],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8929746,"threshold_uncertainty_score":0.2925262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09264199169371916,"score_gpt":0.3249816720626504,"score_spread":0.2323396803689313,"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."}}