{"id":"W4252224538","doi":"10.32920/14668995","title":"Information seeking behaviors, attitudes, and choices of academic mathematicians","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University; Toronto Metropolitan University; Brock University","funders":"Brock University","keywords":"Pace; Feeling; Information seeking; Citation; Variety (cybernetics); Information needs; Sample (material); Psychology; Computer science; Public relations; Mathematics education; World Wide Web; Library science; Social psychology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004758454,0.0001737832,0.0002926784,0.0002360491,0.00007164422,0.0003853082,0.00074797,0.000283958,0.00004488134],"category_scores_gemma":[0.00005537114,0.0001519282,0.00007766854,0.0002114855,0.00005061948,0.00209907,0.001671769,0.0006028458,0.00001290391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003874598,"about_ca_system_score_gemma":0.000206095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000104507,"about_ca_topic_score_gemma":0.000007336023,"domain_scores_codex":[0.9983845,0.00003662781,0.0006798177,0.0001484483,0.0005549059,0.0001957124],"domain_scores_gemma":[0.9987289,0.0000574402,0.0003993769,0.0004423692,0.0002886859,0.00008327742],"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":[0.00002990625,0.0005835738,0.09211619,0.01853944,0.0003187773,0.00002923458,0.1247969,0.001054854,0.007226437,0.2534004,0.00172176,0.5001826],"study_design_scores_gemma":[0.002826615,0.000475889,0.5619643,0.007278143,0.0003790274,0.0002993838,0.006585877,0.3467928,0.05531186,0.005932855,0.007676883,0.004476361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4611548,0.0002465821,0.5339642,0.0003072673,0.0004529737,0.0005698119,0.00002142202,0.0002028539,0.003080174],"genre_scores_gemma":[0.9478198,0.0003404151,0.05113451,0.0002844717,0.00003255434,0.00004038456,0.00008874368,0.00000692458,0.0002522091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4957062,"threshold_uncertainty_score":0.619545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716241769234047,"score_gpt":0.3099717221242064,"score_spread":0.2828093044318659,"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."}}