{"id":"W30272830","doi":"10.1002/hbm.24339","title":"Image Metasearch Engine Based on Clustering and Genetic Algorithm.","year":2007,"lang":"en","type":"article","venue":"International MultiConference of Engineers and Computer Scientists","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health","keywords":"Metasearch engine; Cluster analysis; Computer science; Genetic algorithm; Search engine; Data mining; Artificial intelligence; Information retrieval; Algorithm; Machine learning; Web search query","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044261,0.001488465,0.001452177,0.004337676,0.0008818493,0.001558238,0.002422147,0.002155791,0.01378072],"category_scores_gemma":[0.003117516,0.000682261,0.002369633,0.003365008,0.0004077434,0.001413947,0.001188642,0.001383698,0.005244297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234962,"about_ca_system_score_gemma":0.001962866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538737,"about_ca_topic_score_gemma":0.02059617,"domain_scores_codex":[0.9994276,0.0001103071,0.00005714912,0.0001949899,0.0001442238,0.00006569423],"domain_scores_gemma":[0.9995366,0.0001893788,0.00003984079,0.0000748175,0.0001330382,0.00002626113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003930664,0.0003941301,0.002757544,0.0007265073,0.0009919446,0.0002494187,0.0002249347,0.236758,0.007879164,0.02001021,0.03314662,0.6964685],"study_design_scores_gemma":[0.00006081105,0.00005826414,0.0004708498,0.00003370157,0.00009583942,0.000102355,0.00005133962,0.9732391,0.003083186,0.01105568,0.01172448,0.00002447384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009183739,0.0009068482,0.9512699,0.0003067823,0.0001850079,0.0004779192,0.001687683,0.02887272,0.007109345],"genre_scores_gemma":[0.05827717,0.00036867,0.9300511,0.0001807104,0.00004414038,0.0006744267,0.00339507,0.001370301,0.005638314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01538737,"threshold_uncertainty_score":0.04610109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373228073956973,"score_gpt":0.2706819992656982,"score_spread":0.2569497185261285,"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."}}