{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006179804,0.00005992547,0.00008241991,0.0001370442,0.0001375695,0.001022271,0.0002048612,0.00002150405,0.0004670519],"category_scores_gemma":[0.0003253552,0.00004567028,0.00002990755,0.0003669023,0.00001756459,0.004457875,0.0001607215,0.0000577504,0.0008287752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007612348,"about_ca_system_score_gemma":0.000007514599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009696347,"about_ca_topic_score_gemma":0.000002729132,"domain_scores_codex":[0.9988189,0.00001881882,0.0003662391,0.00009714097,0.0005944946,0.0001043643],"domain_scores_gemma":[0.9995545,0.00006784104,0.0001089206,0.000090021,0.00008844411,0.00009028661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003377503,0.000009200869,0.09593546,0.00002963426,0.00001695454,0.000004300412,0.03395016,0.0001096674,0.001545983,0.02943407,0.06154715,0.7773836],"study_design_scores_gemma":[0.001603937,0.000100787,0.2046272,0.00004445678,0.00005096541,0.00001182433,0.08288979,0.3010459,0.001208889,0.004983877,0.4026495,0.0007828643],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6937418,0.00002552579,0.2627074,0.0050826,0.00015994,0.0001749644,0.000004217686,0.0001515997,0.03795194],"genre_scores_gemma":[0.9932309,0.000003609632,0.002312566,0.00417155,0.0000254411,0.000002260471,0.000004573769,0.000001712543,0.0002473675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7766008,"threshold_uncertainty_score":0.9999492,"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."}}