{"id":"W2921777661","doi":"10.1145/3295750.3298943","title":"A Study of Academic Search Scenarios and Information Seeking Behaviour","year":2019,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Information seeking; Variety (cybernetics); Computer science; Set (abstract data type); Domain (mathematical analysis); Information retrieval; Information seeking behavior; Information needs; Data science; Graduate students; World Wide Web; Psychology; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004344511,0.00005802753,0.00009192288,0.0001891219,0.00004925075,0.0000800972,0.0003186821,0.00004479158,0.00002900248],"category_scores_gemma":[0.00001141966,0.00004612274,0.000014608,0.0003029591,0.00001261284,0.003328811,0.000280642,0.0001855753,0.0001046387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001572428,"about_ca_system_score_gemma":0.00004605993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008553809,"about_ca_topic_score_gemma":0.000001287319,"domain_scores_codex":[0.9990481,0.00002997636,0.0002641006,0.00008133918,0.0004319549,0.0001445441],"domain_scores_gemma":[0.9995154,0.00002882924,0.00005869533,0.0001999166,0.0001415711,0.00005559437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002311075,0.0001603117,0.873184,0.00006860377,0.00001212382,0.000002089462,0.04824964,0.0001893568,0.001611665,0.02402748,0.00007340116,0.05239821],"study_design_scores_gemma":[0.001870333,0.001001581,0.8863767,0.0000272475,0.000007686012,0.0000232729,0.007918159,0.09994807,0.00229628,0.00003930637,0.0002599419,0.0002313809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877805,0.000003030097,0.01038779,0.00008596456,0.00005910204,0.0004550185,7.741043e-7,0.00004566654,0.001182189],"genre_scores_gemma":[0.9987894,0.000003110986,0.0009128926,0.00009799372,0.000003664334,0.000004492989,0.000001314232,0.00000134591,0.0001857481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09975871,"threshold_uncertainty_score":0.2413308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510774195466066,"score_gpt":0.2926549798529816,"score_spread":0.2675472378983209,"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."}}