{"id":"W198617518","doi":"10.1007/978-3-642-21619-0_66","title":"An Interface for Opportunistic Discovery of Information for Young People","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Interface (matter); Task (project management); Metric (unit); World Wide Web; Computer science; Exploratory search; Information retrieval; Search engine; Human–computer interaction; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009264674,0.0002896333,0.0003885809,0.0006571034,0.0001761489,0.0005051797,0.002285955,0.0001957013,0.000006971573],"category_scores_gemma":[0.000124056,0.0002530797,0.0001377099,0.0002744666,0.0002609805,0.004269447,0.0003917895,0.0002300155,0.000006640074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309724,"about_ca_system_score_gemma":0.0006245058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000280514,"about_ca_topic_score_gemma":0.0000544812,"domain_scores_codex":[0.9978854,0.00001162504,0.0006771429,0.000437755,0.0005663001,0.0004217934],"domain_scores_gemma":[0.9976766,0.0002647871,0.0004588486,0.0008043569,0.0006751207,0.0001203422],"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":[0.00008367664,0.00006227264,0.00007223716,0.0004004694,0.00001300155,0.000001187986,0.007422934,0.003280691,0.0003379672,0.3010853,0.00005126958,0.687189],"study_design_scores_gemma":[0.0006057331,0.001306217,0.0003438217,0.0002572647,0.00001916875,0.0000261648,0.000002155696,0.8733714,0.006687061,0.115377,0.001323994,0.0006800008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001587976,0.00001410925,0.9965637,0.0000881738,0.001191884,0.001044016,0.0001061123,0.00005886075,0.0007742911],"genre_scores_gemma":[0.4987644,0.00001667426,0.500174,0.000328869,0.0001523312,0.00007228288,0.0001039903,0.00002126032,0.0003661247],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8700907,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163720275241164,"score_gpt":0.2799127437727478,"score_spread":0.2482755410203362,"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."}}