{"id":"W4323556129","doi":"10.15497/rda00086","title":"Research Data Alliance Pathways: RDA 20th Plenary Synopsis","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Dementia Research Alliance","funders":"","keywords":"Alliance; Computer science; Geography; Archaeology","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":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.01110992,0.0003526663,0.0004447243,0.0009654955,0.004185265,0.006853221,0.01928312,0.0002886082,0.003030708],"category_scores_gemma":[0.002517267,0.0003435613,0.000104152,0.004269794,0.0003702749,0.006329989,0.0217746,0.001245622,0.06645636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727131,"about_ca_system_score_gemma":0.0002424847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187941,"about_ca_topic_score_gemma":7.95739e-7,"domain_scores_codex":[0.9910321,0.001064243,0.0009555139,0.00161426,0.004199953,0.001133888],"domain_scores_gemma":[0.9912055,0.0001705103,0.0004676498,0.004818076,0.002875499,0.0004628376],"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":[0.000005614555,0.00004325834,0.000001645166,0.00021218,0.0000404369,0.00005801632,0.001184893,0.00002319157,0.00005601475,0.001609026,0.9209128,0.07585289],"study_design_scores_gemma":[0.0001674174,0.0001753109,0.0001733806,0.0002693936,0.000003792378,0.0002501544,0.0007075375,0.006074226,0.0000449823,0.0002420542,0.9915093,0.0003824166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003455686,0.0009543377,0.0172364,0.003553129,0.002810805,0.001831463,0.003181173,0.005517684,0.9645694],"genre_scores_gemma":[0.1708973,0.05797648,0.01490388,0.003865252,0.01635016,0.000005645351,0.204261,0.02576912,0.5059712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4585982,"threshold_uncertainty_score":0.9999017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3676180854219857,"score_gpt":0.350111162748434,"score_spread":0.01750692267355169,"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."}}