{"id":"W7108228262","doi":"10.25547/fpk6-5821","title":"Surveying the Open Scholarship Policy Landscape—Introducing the ‘Policy’ Research Scan, available open access via the Open Scholarship Press","year":2025,"lang":"en","type":"article","venue":"Electronic Textual Cultures Lab","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Digital scholarship; Relevance (law); Open research; Resource (disambiguation); Focus (optics); Key (lock)","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":["sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.02781575,0.0004194258,0.0004748962,0.0002640114,0.01210363,0.1240122,0.04501918,0.0001857066,0.0009582969],"category_scores_gemma":[0.006104192,0.0002096188,0.0001268645,0.001396472,0.0007001482,0.01256291,0.0218385,0.005061895,0.000149087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709344,"about_ca_system_score_gemma":0.003437612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1130292,"about_ca_topic_score_gemma":0.1108628,"domain_scores_codex":[0.9890472,0.006760467,0.000652273,0.0009418619,0.0009422121,0.001655964],"domain_scores_gemma":[0.992977,0.001840423,0.0003194878,0.003577061,0.00115185,0.0001342108],"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":[0.0001690458,0.0001118727,0.0005628259,0.00001654788,0.0002161514,7.273427e-7,0.008972258,0.0000473975,0.0001340897,0.7092253,0.2755239,0.005019901],"study_design_scores_gemma":[0.0008206895,0.00008908285,0.004130038,0.0001297389,0.00004812861,0.000008117722,0.003549408,0.00006378336,0.0004631792,0.04418195,0.9462019,0.0003140185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02043445,0.0137635,0.00001684549,0.1648808,0.0003592536,0.005238359,0.00008572999,0.0001646732,0.7950565],"genre_scores_gemma":[0.8368135,0.0005674204,0.00001357339,0.005526359,0.001469182,0.0007845263,0.0001149116,0.00005331288,0.1546572],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8163791,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2049497168196491,"score_gpt":0.4484658192540686,"score_spread":0.2435161024344195,"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."}}