{"id":"W993171468","doi":"10.1007/978-3-642-21619-0_71","title":"A Comparison of Children’s and Adults’ Retrieval Performances and Affective Reactions When Using a Conventional Interface and an Information Visualization Interface","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Visualization; Interface (matter); Information visualization; Computer science; Subject (documents); Human–computer interaction; User interface; Information retrieval; Psychology; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006448132,0.0002777025,0.0002465636,0.0003537216,0.0001800745,0.0005492449,0.0002130882,0.0004172834,0.004357303],"category_scores_gemma":[0.004208872,0.0001490872,0.0002858718,0.0002221542,0.0002889993,0.0005199314,0.0004790659,0.0003600387,0.0007232185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262936,"about_ca_system_score_gemma":0.0001117005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065776,"about_ca_topic_score_gemma":0.0008230276,"domain_scores_codex":[0.9996283,0.00007240871,0.00003894329,0.00008783238,0.0001037999,0.0000686701],"domain_scores_gemma":[0.9976575,0.001334447,0.0002857591,0.0001055566,0.0003699941,0.0002466185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01102784,0.002509897,0.2502717,0.001218246,0.0002285409,0.002098899,0.06780948,0.0004756331,0.4943686,0.0006754619,0.004109784,0.1652059],"study_design_scores_gemma":[0.0001803487,0.007798662,0.9185005,0.00008777724,0.0002456799,0.002252483,0.01857111,0.001037891,0.04560219,0.0001910092,0.005439641,0.00009272079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980268,0.00008621786,0.000311345,0.00001193107,0.000009647571,0.00001667073,0.00008388804,0.00001715393,0.001436357],"genre_scores_gemma":[0.9963463,0.0001322136,0.0008501796,0.00002366078,0.000009785404,0.00004554424,0.0002884511,0.00001686624,0.002286931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004357303,"threshold_uncertainty_score":0.01457667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667908611562222,"score_gpt":0.3243216913913802,"score_spread":0.297642605275758,"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."}}