{"id":"W6891198474","doi":"10.3886/icpsr39114","title":"Inventory of Research Data Services at United States and Canadian Universities, 2023","year":2025,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Sample (material); Data collection; Research data; Big data","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":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.004108086,0.0005793367,0.0007533345,0.005484743,0.0006231775,0.0003293407,0.01407328,0.0005913326,0.0008379918],"category_scores_gemma":[0.0003662833,0.0006739111,0.00002894479,0.003686163,0.001213039,0.001679733,0.02870997,0.001342561,0.0003493321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673479,"about_ca_system_score_gemma":0.003651848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9680412,"about_ca_topic_score_gemma":0.9534328,"domain_scores_codex":[0.9940458,0.0005913163,0.0005929238,0.00210818,0.001399457,0.001262304],"domain_scores_gemma":[0.9844708,0.0006802036,0.0004211697,0.01306302,0.0005683831,0.0007963844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009238071,0.00003991272,0.0002681002,0.002455094,0.0003797651,0.0002634591,0.0001430229,0.000002814937,0.0000159584,0.00003243802,0.9962844,0.00002262461],"study_design_scores_gemma":[0.000538459,0.00004147098,0.00008685362,0.001473922,0.0003273403,0.00001161135,0.003592101,0.0007499946,0.0000115434,0.00002808538,0.9926178,0.0005207454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007006584,0.002878792,3.709837e-8,0.0002682787,0.0002558822,0.0005410866,0.9888008,0.00005882244,0.0001897169],"genre_scores_gemma":[0.00002323511,0.00704829,0.00004277395,0.0002762931,0.0001137201,0.000005444744,0.9899101,0.0000686513,0.002511522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01463669,"threshold_uncertainty_score":0.9995712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172332602793721,"score_gpt":0.3709032416708404,"score_spread":0.2536699813914683,"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."}}