{"id":"W2918023730","doi":"10.5334/kula.43","title":"The Initial Impact of the Open Scholarship Policy Observatory","year":2019,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Scholarship; General partnership; Observatory; Political science; Digital scholarship; Order (exchange); Public relations; Public administration; Business; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01307975,0.0001403352,0.0002692998,0.00343655,0.0008125322,0.001819468,0.001998792,0.0000791393,0.0001104984],"category_scores_gemma":[0.05766347,0.00006663659,0.0001414195,0.03341086,0.0002980295,0.001340863,0.001713916,0.0001666824,0.00004732846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708739,"about_ca_system_score_gemma":0.0003499047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008556313,"about_ca_topic_score_gemma":0.00009073572,"domain_scores_codex":[0.9958208,0.0006390074,0.000683133,0.0003862528,0.002222761,0.0002479993],"domain_scores_gemma":[0.9823424,0.009666725,0.000513236,0.0007450596,0.006624698,0.0001078338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000525049,0.00007661989,0.8429934,0.00001654296,0.00007557642,6.143668e-8,0.00359818,0.00002917774,0.0007203438,0.02704277,0.01353623,0.1118586],"study_design_scores_gemma":[0.0003192871,0.00007228761,0.9561678,0.00003955687,0.000007453526,7.000389e-7,0.001090199,0.002145154,0.0007473766,0.01278018,0.02654352,0.00008648506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489104,0.003244524,0.00007777401,0.003008205,0.0003947697,0.000824059,0.00002200024,0.00001200158,0.04350629],"genre_scores_gemma":[0.949435,0.000647263,0.00004505977,0.00003457952,0.0000874729,0.00004428325,0.000006553846,0.000007605382,0.04969221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131744,"threshold_uncertainty_score":0.9992167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6711811087149504,"score_gpt":0.6776356465126533,"score_spread":0.006454537797702886,"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."}}