{"id":"W2466509469","doi":"10.29173/cais175","title":"Metasearch Result Visualization: An Exploratory Study","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metasearch engine; Visualization; Information retrieval; World Wide Web; Computer science; Search engine; Artificial intelligence; Web search query","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01936389,0.0006518842,0.0006893865,0.003626858,0.001722523,0.00356023,0.001278102,0.001382492,0.002815841],"category_scores_gemma":[0.07802518,0.0005289897,0.0007819016,0.002756009,0.001504734,0.003722133,0.002575759,0.00122874,0.0005700149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008369416,"about_ca_system_score_gemma":0.001052212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199647,"about_ca_topic_score_gemma":0.002358142,"domain_scores_codex":[0.986779,0.00939303,0.0006306245,0.0006857936,0.001978893,0.0005326159],"domain_scores_gemma":[0.8661563,0.1181672,0.003170078,0.003750902,0.0077137,0.00104177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001675855,0.002606201,0.1182457,0.00338951,0.000222659,0.003765409,0.6963571,0.001359351,0.02870683,0.003895907,0.004944197,0.1348312],"study_design_scores_gemma":[0.0003783944,0.00812152,0.2398054,0.002366445,0.0004814671,0.007701208,0.5822385,0.02072788,0.04791904,0.006090621,0.08366192,0.0005075773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774139,0.0005050136,0.01404283,0.000473272,0.00002295052,0.0005905328,0.0004109085,0.000411419,0.006129114],"genre_scores_gemma":[0.9812889,0.0003881568,0.01529764,0.0001471981,0.00002567291,0.0005384143,0.0003522109,0.0002351508,0.001726698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01936389,"threshold_uncertainty_score":0.1024073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06344066003243704,"score_gpt":0.302437622278605,"score_spread":0.238996962246168,"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."}}