{"id":"W1889231767","doi":"10.18438/b8j59v","title":"More Appropriate Information Systems and Services for the Social Scientist: Time to Put Our Findings to Work","year":2007,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"USable; Information system; Computer science; Scope (computer science); Point (geometry); Information science; Order (exchange); Data science; Sociology; Knowledge management; Management science; World Wide Web; Library science; Engineering; Business; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004321083,0.0001152752,0.0001158606,0.0002506504,0.001896275,0.002460001,0.00022823,0.00008010685,0.00003586326],"category_scores_gemma":[0.000797577,0.00009319055,0.00002770063,0.0008420164,0.00004701118,0.1562382,0.00008446135,0.00008361327,0.0001982205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003638281,"about_ca_system_score_gemma":0.0001287203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008862461,"about_ca_topic_score_gemma":6.202303e-7,"domain_scores_codex":[0.9983999,0.0001185588,0.0006026547,0.00009197734,0.0005007056,0.0002862214],"domain_scores_gemma":[0.9981537,0.0009253804,0.0004041007,0.0001121988,0.0002448343,0.0001597812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001808806,0.00001823739,0.0004693417,0.0007287945,0.00005316754,4.248972e-7,0.192129,0.0006002441,0.00002888789,0.6724153,0.03297894,0.09876888],"study_design_scores_gemma":[0.0002397299,0.00006148792,0.002675411,0.0001281353,0.000022243,0.000002426255,0.09529745,0.0008861183,0.00005648701,0.00002397923,0.90047,0.0001364926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07469685,0.0003475307,0.2638029,0.6113517,0.002966679,0.01295809,0.0002935801,0.0006130506,0.03296969],"genre_scores_gemma":[0.8773292,0.00009511883,0.006508952,0.1131663,0.0008001334,0.0003633712,0.0002300843,0.00001535979,0.001491486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8674911,"threshold_uncertainty_score":0.9994031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164418883998181,"score_gpt":0.3247340234700092,"score_spread":0.3082921350701912,"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."}}