{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002341937,0.0004676645,0.0008450026,0.0003750552,0.000340096,0.0102314,0.005260973,0.0002175617,0.0001598553],"category_scores_gemma":[0.01412629,0.0003845048,0.0002557192,0.001848857,0.0007741114,0.04126706,0.002089533,0.0004646877,0.00004917287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007235724,"about_ca_system_score_gemma":0.0006640973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575561,"about_ca_topic_score_gemma":0.00008387049,"domain_scores_codex":[0.9958622,0.0002391226,0.001054025,0.0008672642,0.001227769,0.0007496539],"domain_scores_gemma":[0.91146,0.0002020228,0.001163819,0.0008048334,0.08597675,0.0003925443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001606764,0.004960541,0.2167051,0.001092759,0.001334415,0.00001598085,0.5442561,0.00005800205,0.01714571,0.1009328,0.04585528,0.06748263],"study_design_scores_gemma":[0.005876264,0.01006609,0.2982229,0.003050852,0.002519279,0.0001712291,0.2344682,0.110182,0.07633685,0.01969212,0.2353435,0.004070776],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990191,0.0006592445,0.0005867534,0.004658777,0.0004099109,0.0006944645,0.0002551531,0.00007969614,0.002465029],"genre_scores_gemma":[0.9945619,0.0001514808,0.001687592,0.0002312535,0.0002271695,0.00007985587,0.00001458334,0.00003577265,0.003010381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3097879,"threshold_uncertainty_score":0.9998607,"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."}}