{"id":"W2974699184","doi":"10.1002/pra2.2018.14505501026","title":"Understanding the information needs of social scientists in Germany","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information needs; Data collection; Quarter (Canadian coin); Data science; Social needs; Information seeking; Computer science; Knowledge management; Sociology; World Wide Web; Information retrieval; Social science; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01172036,0.00005493186,0.0001269301,0.00152023,0.0006034262,0.0003213583,0.001108693,0.00007880282,0.000003444529],"category_scores_gemma":[0.008899038,0.0000332739,0.00003026652,0.006497174,0.001001855,0.005853,0.0004288925,0.00007460033,0.000009295567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244555,"about_ca_system_score_gemma":0.00008950632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006156241,"about_ca_topic_score_gemma":0.000007515779,"domain_scores_codex":[0.9977625,0.000006960966,0.0006804185,0.00006304347,0.001298066,0.0001890029],"domain_scores_gemma":[0.9959099,0.0001503658,0.00135151,0.0001098717,0.002464424,0.00001394896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008934466,0.000006795365,0.008455824,0.00001467452,0.000003934818,4.849987e-10,0.01138593,9.922916e-7,0.0004417294,0.9708672,0.003653541,0.005160415],"study_design_scores_gemma":[0.001395593,0.000188693,0.09844112,0.00004560945,0.00002918227,0.000002440965,0.1746377,0.004315608,0.01494776,0.4619802,0.2437887,0.0002274034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706772,0.000004809901,0.005138609,0.03530381,0.0007552132,0.001265372,0.00007328524,0.00005748676,0.08672416],"genre_scores_gemma":[0.9995134,0.000002285297,0.00009084961,0.0002611204,0.00001057364,0.00001444337,8.829388e-7,8.464111e-7,0.0001055932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5088871,"threshold_uncertainty_score":0.9994494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08734379789931224,"score_gpt":0.3483057557521009,"score_spread":0.2609619578527887,"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."}}