{"id":"W3125055770","doi":"10.1145/3324884.3416537","title":"Identifying and describing information seeking tasks","year":2020,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Task (project management); Set (abstract data type); Key (lock); Software; Representation (politics); Human–computer interaction; Task analysis; Face (sociological concept); Work (physics); Information retrieval; Software engineering; Programming language; Computer security; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001969744,0.00084763,0.0004872434,0.008692866,0.0007428001,0.001956774,0.0007754852,0.001092528,0.001327946],"category_scores_gemma":[0.01716491,0.0002946715,0.0007040747,0.005161104,0.0003992795,0.00212699,0.001305377,0.0006480541,0.001339796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00096255,"about_ca_system_score_gemma":0.001275679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318098,"about_ca_topic_score_gemma":0.01650284,"domain_scores_codex":[0.9977664,0.0005842677,0.0004570898,0.0004185219,0.0005410364,0.0002326771],"domain_scores_gemma":[0.9801838,0.01157038,0.002985072,0.001874987,0.002849065,0.000536624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001270091,0.0009113936,0.5596679,0.001924036,0.0001380615,0.0009296918,0.01401872,0.009427631,0.02934221,0.005150289,0.02125676,0.3559632],"study_design_scores_gemma":[0.0001283228,0.0005689509,0.6597647,0.0004899306,0.0001617539,0.001634851,0.01405448,0.2117604,0.03455713,0.01096713,0.06560498,0.000307414],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870274,0.0006909549,0.07849028,0.0003404738,0.00007690371,0.001282382,0.02299361,0.001960243,0.007137665],"genre_scores_gemma":[0.7743785,0.0004777648,0.1876537,0.00009414109,0.00004484212,0.001262872,0.03240237,0.0002357107,0.003450048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01318098,"threshold_uncertainty_score":0.02620852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5281325099395285,"score_gpt":0.4257030036122138,"score_spread":0.1024295063273147,"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."}}