{"id":"W7083812723","doi":"10.5281/zenodo.17230153","title":"Making the Global Open Research Commons Truly Global: A report from the Lorentz Workshop, July 21-25 2025","year":2025,"lang":"en","type":"report","venue":"KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Respiratory Research Network; Toronto Dementia Research Alliance","funders":"","keywords":"Variety (cybernetics); Interoperability; Realm; Global commons; Commons; Implementation; Space (punctuation); Globe","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","sts","research_integrity"],"category_scores_codex":[0.06492373,0.0005590701,0.001004686,0.000272541,0.009535339,0.002111774,0.01245757,0.001377423,0.0004366674],"category_scores_gemma":[0.008899951,0.0002896935,0.0003346695,0.00516203,0.0217988,0.0003625914,0.00616331,0.005619529,0.00003677541],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005042427,"about_ca_system_score_gemma":0.007429396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05991362,"about_ca_topic_score_gemma":0.04361744,"domain_scores_codex":[0.980917,0.003668326,0.001487695,0.001933552,0.009485534,0.002507862],"domain_scores_gemma":[0.990424,0.005737477,0.0008676564,0.001427964,0.001160159,0.0003826863],"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":[0.00009657136,0.0001277719,0.04589856,0.00004346337,0.0002657947,0.000166684,0.002766628,0.00002477841,7.188881e-7,0.0458387,0.8641621,0.04060816],"study_design_scores_gemma":[0.0003279289,0.0001005098,0.0416119,0.0009814474,0.00007518937,0.00004319485,0.008561603,0.0001165825,0.000002430423,0.05135122,0.8964989,0.0003291546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01717013,0.01142468,0.00001682899,0.1448851,0.0008774202,0.004013644,0.0004842549,0.0001273488,0.8210006],"genre_scores_gemma":[0.9488828,0.004074123,0.0001535441,0.0005990181,0.001617831,0.0004317507,0.00004440853,0.0000399227,0.04415661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9317127,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3116680020116506,"score_gpt":0.51975691382941,"score_spread":0.2080889118177594,"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."}}