{"id":"W70837922","doi":"10.1007/1-4020-4014-8_6","title":"A Multitasking Framework for Cognitive Information Retrieval","year":2006,"lang":"en","type":"book-chapter","venue":"˜The œinformation retrieval series","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Human multitasking; Computer science; Cognition; Cognitive psychology; Psychology; Neuroscience","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","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00128063,0.0007774881,0.0006543644,0.0007037059,0.001223928,0.002175068,0.00152929,0.0009795574,0.0001611946],"category_scores_gemma":[0.0005541324,0.000629059,0.0005247811,0.0005272497,0.0003494247,0.01417484,0.0005091432,0.001168452,0.001387804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634222,"about_ca_system_score_gemma":0.0005392224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002109258,"about_ca_topic_score_gemma":0.000006686445,"domain_scores_codex":[0.9949684,0.00004950891,0.001955102,0.0003268975,0.001901764,0.0007982887],"domain_scores_gemma":[0.9939998,0.0007601147,0.001751277,0.0008919984,0.002378348,0.0002184185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001237556,0.00002245308,0.000006574141,0.0004544301,0.0001488368,0.000003599228,0.004619715,0.0001328895,0.000004653824,0.9434904,0.01142186,0.03845704],"study_design_scores_gemma":[0.001521699,0.0006190726,0.0001963484,0.0004802351,0.0001552204,0.00008142975,0.0005165057,0.01094257,0.0006600859,0.04852074,0.9349521,0.001354019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00007188492,0.000116889,0.8628929,0.0009863684,0.001716061,0.003292939,0.001068958,0.0006561821,0.1291978],"genre_scores_gemma":[0.1158952,0.001503297,0.1536344,0.02766024,0.00569336,0.0009197929,0.03413086,0.0006295783,0.6599333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9235302,"threshold_uncertainty_score":0.9996161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941337266652789,"score_gpt":0.2557419413002919,"score_spread":0.236328568633764,"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."}}