{"id":"W2058794190","doi":"10.1002/meet.2008.1450450125","title":"Understanding visual search tools through users' reactions","year":2008,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Visual search; World Wide Web; Search engine; Computer science; Digital library; Range (aeronautics); Information retrieval; Psychology; Multimedia; Engineering; Artificial intelligence; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005555238,0.0004296975,0.0002759116,0.002331786,0.001422551,0.00653333,0.0004940308,0.001270003,0.004015079],"category_scores_gemma":[0.03171644,0.0002172662,0.0002761639,0.0009686158,0.001907622,0.005731412,0.002577803,0.0009651107,0.0006312672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082496,"about_ca_system_score_gemma":0.0003683232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005052361,"about_ca_topic_score_gemma":0.002361384,"domain_scores_codex":[0.9950406,0.003254174,0.0002177634,0.0002713771,0.0008671918,0.0003488568],"domain_scores_gemma":[0.9684577,0.0246217,0.002754595,0.0007664616,0.002481067,0.0009184215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001608272,0.0001088021,0.1453878,0.0001623962,0.00002225557,0.0003903585,0.8224027,0.0001414634,0.002087947,0.003186231,0.00175016,0.02419903],"study_design_scores_gemma":[0.00001640394,0.00018695,0.06523021,0.0002424323,0.00003421901,0.0003350016,0.9118477,0.001311228,0.001439288,0.002134528,0.01715242,0.00006953522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799192,0.0002038079,0.0008435909,0.0005358346,0.00001277,0.00003365896,0.00006894321,0.00003718587,0.01834507],"genre_scores_gemma":[0.99834,0.0001152707,0.0002255641,0.00009993648,0.000004876155,0.00002006049,0.00002747161,0.00001094412,0.001155835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00653333,"threshold_uncertainty_score":0.02937931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09893092531952855,"score_gpt":0.3388794948407687,"score_spread":0.2399485695212402,"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."}}