{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.04909934,0.001698459,0.0009467265,0.002943097,0.003551569,0.008662737,0.005389011,0.002877096,0.009912944],"category_scores_gemma":[0.05676163,0.001024869,0.0008928155,0.001638281,0.004447558,0.01162936,0.01288514,0.005760891,0.005599839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846474,"about_ca_system_score_gemma":0.01091838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210802,"about_ca_topic_score_gemma":0.005379014,"domain_scores_codex":[0.9767958,0.01396952,0.001185222,0.00203106,0.004792527,0.001225734],"domain_scores_gemma":[0.9279346,0.04143961,0.003138657,0.009428449,0.008427341,0.00963124],"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":[0.0003585047,0.005313909,0.00499296,0.001516171,0.00004571549,0.001359195,0.1230073,0.005605005,0.01532065,0.02438272,0.0803291,0.7377689],"study_design_scores_gemma":[0.0003910954,0.003180766,0.008035717,0.001847655,0.00005779086,0.001462793,0.05572191,0.01322136,0.01858218,0.03956764,0.8573328,0.000598354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1891254,0.000994693,0.6554797,0.02409614,0.001965123,0.0160554,0.001964608,0.01606087,0.09425808],"genre_scores_gemma":[0.1786103,0.0008933478,0.7561135,0.00111322,0.0002402692,0.00581528,0.001740818,0.001428307,0.05404503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.994611,"threshold_uncertainty_score":0.2596653,"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."}}