{"id":"W6968933212","doi":"10.5281/zenodo.5655304","title":"Developing a REPO Assessment Workbook: Supporting Open Science Communities in the Transition to Online Learning","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Open science; Citizen science; Community of practice; Citizen journalism; Workbook; Open education; Best practice; Open learning; Open data; Online community","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02242994,0.0001072467,0.0001836141,0.0004458853,0.004612835,0.01436329,0.009636506,0.00004746244,0.00290687],"category_scores_gemma":[0.0130149,0.00008518247,0.00003237905,0.004022328,0.00022155,0.002103067,0.006439626,0.0008051076,0.0004897765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002725836,"about_ca_system_score_gemma":0.00008158374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001141047,"about_ca_topic_score_gemma":0.00001433896,"domain_scores_codex":[0.9949843,0.001871557,0.0006209805,0.0005060068,0.001573631,0.0004435775],"domain_scores_gemma":[0.9971513,0.0003776259,0.0002202908,0.0007152461,0.001400902,0.0001346922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005800298,0.0002390022,0.0005369597,0.0000225714,0.00001754527,0.0001064136,0.07291175,0.003188008,0.002053538,0.02579171,0.06829435,0.8267801],"study_design_scores_gemma":[0.0002920768,0.00006845035,0.01024727,0.0001123669,0.000003821805,0.0001641306,0.08245312,0.003227077,0.0001958768,0.002732974,0.900321,0.0001818348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6702726,0.00005577949,0.06707608,0.04230684,0.0002147325,0.0009494769,0.00005818902,0.0003059402,0.2187603],"genre_scores_gemma":[0.991987,0.00002034934,0.004434261,0.00215052,0.00006425927,1.307613e-7,0.0004097284,0.0001895583,0.0007442079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8320267,"threshold_uncertainty_score":0.9980046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2170728917421594,"score_gpt":0.4449774599898255,"score_spread":0.2279045682476661,"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."}}