{"id":"W4297037220","doi":"10.32920/14668995.v2","title":"Information seeking behaviors, attitudes, and choices of academic mathematicians","year":2022,"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; Citation; Information seeking; Feeling; Variety (cybernetics); Information needs; Sample (material); Psychology; Computer science; Public relations; Mathematics education; World Wide Web; Library science; Political science; Social psychology","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":[0.0006720295,0.0001692049,0.0002604423,0.0003284392,0.0001315983,0.0001970547,0.001063219,0.0001784724,0.0001828953],"category_scores_gemma":[0.00003946395,0.0001515204,0.00007215655,0.0002281913,0.00004811352,0.001564459,0.002759898,0.0007973646,0.00001551068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006491568,"about_ca_system_score_gemma":0.0001628339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001152603,"about_ca_topic_score_gemma":0.000002904965,"domain_scores_codex":[0.9982423,0.00004498661,0.0006746947,0.0001437582,0.0006950907,0.0001992385],"domain_scores_gemma":[0.9988232,0.00006566989,0.000465471,0.0004408161,0.0001308209,0.00007406165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004259328,0.0004373524,0.08839438,0.009821677,0.0001940098,0.00001267346,0.08023744,0.00216846,0.001526679,0.5316593,0.003445883,0.2820596],"study_design_scores_gemma":[0.003329498,0.001030778,0.5119523,0.00220999,0.0003690071,0.0002078817,0.005858395,0.3693454,0.009796459,0.02072058,0.07013485,0.005044898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4712247,0.0003357112,0.5094692,0.000772367,0.001200329,0.001807431,0.000137626,0.0005902898,0.0144624],"genre_scores_gemma":[0.9540625,0.000400157,0.0436203,0.000540714,0.00004886038,0.0001828892,0.0001688876,0.00001403268,0.0009616059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5109387,"threshold_uncertainty_score":0.6178822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901124147058998,"score_gpt":0.3179921586898421,"score_spread":0.2889809172192521,"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."}}