{"id":"W6912287910","doi":"10.5281/zenodo.16848496","title":"Survey 2025: Repository data of Empa - Swiss Federal Laboratories for Materials Science and Technology (2021-2024)","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"EMPA; Resource (disambiguation); Quarter (Canadian coin); Data collection; Information repository","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002011344,0.001508096,0.0009515737,0.01154796,0.0006246644,0.002576586,0.001429227,0.001239399,0.03476217],"category_scores_gemma":[0.01010678,0.0005223027,0.0008569856,0.01916687,0.0003266057,0.001232689,0.001998461,0.001127488,0.04608465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221409,"about_ca_system_score_gemma":0.004925686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03148188,"about_ca_topic_score_gemma":0.03640289,"domain_scores_codex":[0.9971519,0.0004066678,0.0004252329,0.0004729081,0.001159771,0.0003834975],"domain_scores_gemma":[0.9936569,0.001187036,0.001168833,0.00101453,0.002387361,0.0005853404],"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":[0.0001592856,0.00004990214,0.006933501,0.001234502,0.00007209094,0.0000630854,0.0001004607,0.0004676415,0.0004432278,0.001534614,0.9800304,0.008911294],"study_design_scores_gemma":[0.0001501479,0.00003622285,0.04336847,0.0004637621,0.00005236521,0.0001135052,0.0002167294,0.0006661077,0.001299191,0.0009214405,0.9526539,0.00005820602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006030774,0.00006595079,0.00008784114,0.00004880631,0.00001000533,0.00001493844,0.9983473,0.0001961006,0.0006261248],"genre_scores_gemma":[0.001015108,0.00006148161,0.0002266313,0.00001862227,0.000007526533,0.00009224239,0.9978862,0.00003562187,0.0006565748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.988452,"threshold_uncertainty_score":0.116291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3340918517089357,"score_gpt":0.4724733154182493,"score_spread":0.1383814637093136,"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."}}