{"id":"W6950093863","doi":"10.5281/zenodo.7371074","title":"Beyond Open Access:Supporting diverse, equitable, and sustainable scholarly publishing with open values and infrastructure","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Service (business); Open source software; Public service; Project commissioning; Open university","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","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.004329858,0.0001335102,0.0001639534,0.0002694219,0.02032737,0.2330689,0.005485964,0.00003217522,0.01240632],"category_scores_gemma":[0.001356009,0.0001276495,0.00001351084,0.0003208764,0.0002260499,0.04889836,0.05108292,0.000821151,0.00002869014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701773,"about_ca_system_score_gemma":0.00002282239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075275,"about_ca_topic_score_gemma":0.000009589737,"domain_scores_codex":[0.99783,0.0006015635,0.0002246874,0.0004208363,0.0004198785,0.0005029841],"domain_scores_gemma":[0.9980596,0.00004186747,0.0002170425,0.0004812256,0.001036797,0.0001634903],"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":[0.0001664581,0.00009482494,0.000229124,0.00008684421,0.00008130564,0.00002864746,0.04190631,0.00006396718,0.00007635941,0.4340617,0.4402429,0.08296164],"study_design_scores_gemma":[0.000715568,0.0002396655,0.00116418,0.00001755737,0.00001844614,0.00006425779,0.04835647,0.0001170467,0.000004963151,0.01330811,0.9358084,0.0001853249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1268836,0.0003507658,0.0001110797,0.005105545,0.00008151952,0.001093824,0.0002783555,0.000362304,0.865733],"genre_scores_gemma":[0.9846541,0.00005202674,0.0002944361,0.0007098992,0.00009188899,5.743606e-7,0.001303262,0.0004758824,0.01241792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8577705,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07005436459914753,"score_gpt":0.2948563020897297,"score_spread":0.2248019374905821,"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."}}