{"id":"W4388446498","doi":"10.5206/cjils-rcsib.v46i2.15358","title":"The state of green open access in Canadian universities","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Dalhousie University","funders":"University of Waterloo; University of Toronto; University of Manitoba; Université de Montréal; University of Saskatchewan; University of Ottawa","keywords":"Work (physics); Political science; State (computer science); Open data; Business; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","scholarly_communication","open_science"],"consensus_categories":["bibliometrics","scholarly_communication"],"category_scores_codex":[0.01239643,0.00004194149,0.0001020703,0.05804545,0.0004989816,0.009758317,0.005935178,0.00001771392,0.0001149754],"category_scores_gemma":[0.002802469,0.00002573563,0.00002151174,0.1125089,0.000552304,0.02581747,0.0004592682,0.0001209645,0.00002214853],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226647,"about_ca_system_score_gemma":0.01914357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4344666,"about_ca_topic_score_gemma":0.461395,"domain_scores_codex":[0.9974958,0.00005044646,0.0004909524,0.00007261965,0.001480975,0.0004091975],"domain_scores_gemma":[0.9970013,0.0005511708,0.0002721192,0.0001645703,0.0007607496,0.001250123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001850272,0.000002323497,0.4960699,0.000006522921,0.00000468787,0.00004939909,0.005290539,0.0008956181,0.000006660567,0.01445212,0.03778213,0.4454216],"study_design_scores_gemma":[0.0001531619,0.00004179524,0.7837508,0.00001251454,3.725463e-7,0.000009955408,0.005297517,0.005984354,0.00006054054,0.006561435,0.1980777,0.00004990573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731413,0.0001284487,0.00001204043,0.007453095,0.0002765533,0.00009535528,0.00005616155,0.000001450822,0.01883556],"genre_scores_gemma":[0.9978379,0.0001878337,0.00004318102,0.000330542,0.0000060102,2.60087e-7,9.990086e-7,0.000001117116,0.001592141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4453717,"threshold_uncertainty_score":0.9994432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3293991335278975,"score_gpt":0.495047140516965,"score_spread":0.1656480069890676,"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."}}