{"id":"W3010944450","doi":"10.1145/3343413.3377989","title":"The Role of Domain Knowledge in Search as Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Session (web analytics); Task (project management); Domain (mathematical analysis); Cognition; Domain knowledge; Digital library; Task analysis; Information retrieval; Artificial intelligence; World Wide Web; Psychology","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":[0.005139709,0.0003203227,0.000419871,0.002069626,0.0007370503,0.003923999,0.0005735059,0.0006358103,0.002227809],"category_scores_gemma":[0.05453137,0.0002154877,0.0002974983,0.001398755,0.001753459,0.003818237,0.002155839,0.0008037615,0.0002800518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000769139,"about_ca_system_score_gemma":0.001106225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553821,"about_ca_topic_score_gemma":0.001913538,"domain_scores_codex":[0.9951125,0.00281297,0.0002432566,0.000473629,0.001103431,0.0002541147],"domain_scores_gemma":[0.9083989,0.0763134,0.007145768,0.003319589,0.002587311,0.002234906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00117457,0.001655225,0.4025624,0.002808498,0.0003889957,0.0008664344,0.0856385,0.006933434,0.01566933,0.01439439,0.001138208,0.46677],"study_design_scores_gemma":[0.0001611023,0.002399173,0.8371295,0.001001267,0.0003260522,0.001962889,0.05853802,0.01589236,0.01002015,0.05850726,0.01383845,0.0002237505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722232,0.001335842,0.009487845,0.0004497168,0.00001283027,0.00008560083,0.00005789165,0.00005049621,0.01629659],"genre_scores_gemma":[0.9963078,0.0004138873,0.002542515,0.00004663303,0.00000950421,0.00003116747,0.00005524132,0.00001088534,0.0005823403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005139709,"threshold_uncertainty_score":0.02718168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066026969220281,"score_gpt":0.2830862860711478,"score_spread":0.262426016378945,"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."}}