{"id":"W3126591755","doi":"10.54590/pop.2020.011","title":"The Open Scholarship Commons: Advancing Research for the Public Good","year":2020,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Commons; Public relations; Space (punctuation); Digital scholarship; Institution; Service (business); Knowledge sharing; Political science; Value (mathematics); Public service; Knowledge management; Sociology; Business; World Wide Web; Computer science; Social science; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01769872,0.000194938,0.0002609204,0.00008274426,0.004826161,0.02105507,0.0161887,0.00007550264,0.0002178535],"category_scores_gemma":[0.00855213,0.0001262941,0.00008370477,0.001632728,0.0002602551,0.005991682,0.007840991,0.0010263,0.0005485952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498978,"about_ca_system_score_gemma":0.001778436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001267621,"about_ca_topic_score_gemma":0.0004575372,"domain_scores_codex":[0.9946328,0.001951555,0.0005227862,0.0007375394,0.0007578624,0.001397487],"domain_scores_gemma":[0.9935899,0.003234393,0.0002046483,0.001494415,0.000726765,0.0007499252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002297801,0.0001325047,0.0084115,0.00001249953,0.00006352612,0.000001685796,0.002351766,0.00001655954,0.00005917035,0.8655066,0.07914294,0.04427823],"study_design_scores_gemma":[0.0005703441,0.0001511654,0.005164801,0.00001502333,0.000007956533,0.000003127078,0.005764788,0.01209912,0.0001126301,0.003640357,0.9722562,0.0002144269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00772788,0.000936382,0.006488456,0.9048235,0.001200417,0.004245333,0.000005777534,0.0001977532,0.07437447],"genre_scores_gemma":[0.9870702,0.00003846811,0.002251899,0.006556321,0.0002333883,0.002128091,0.000005990179,0.00003521794,0.00168042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9793423,"threshold_uncertainty_score":0.9997993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4957972216094433,"score_gpt":0.4857035442867824,"score_spread":0.01009367732266098,"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."}}