{"id":"W2151628030","doi":"10.1002/meet.2014.14505101122","title":"Documenting and studying the use of assigned search tasks: RepAST","year":2014,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Library and Archives Canada","funders":"","keywords":"Computer science; Task (project management); Session (web analytics); Information retrieval; Field (mathematics); CLARITY; Reuse; World Wide Web; Data science","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":[],"consensus_categories":[],"category_scores_codex":[0.00211529,0.00006652041,0.0001322757,0.0001698077,0.0005766771,0.0002637238,0.0008470777,0.00002714041,1.806916e-7],"category_scores_gemma":[0.0007125469,0.00003854539,0.00005075569,0.002419809,0.002252096,0.003486632,0.000719531,0.0001086139,3.184682e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002426525,"about_ca_system_score_gemma":0.00007422532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001932713,"about_ca_topic_score_gemma":1.412392e-7,"domain_scores_codex":[0.9988527,0.00000337597,0.0002954977,0.0001102568,0.0005048034,0.0002333481],"domain_scores_gemma":[0.9979944,0.0001045037,0.0004764496,0.0001530049,0.001239882,0.00003182228],"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":[0.00001606428,0.00002419478,0.02047769,0.0001622727,0.00002844956,5.462578e-9,0.0148322,0.00001228306,0.03679165,0.3377683,0.0009198324,0.5889671],"study_design_scores_gemma":[0.001920547,0.001905272,0.06442194,0.0001857808,0.0000803359,0.00007144541,0.06521644,0.5094308,0.2672417,0.006689479,0.08211134,0.0007249214],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983058,0.000004719298,0.01243075,0.003876161,0.00002890986,0.0003748921,0.000002399521,0.00004662235,0.0001775215],"genre_scores_gemma":[0.9774167,0.00002361267,0.02207812,0.0004423865,0.0000042822,0.00001992159,1.643105e-7,0.000001436,0.00001337778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5882421,"threshold_uncertainty_score":0.8297942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151841322191572,"score_gpt":0.2809576724929127,"score_spread":0.249439259270997,"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."}}