{"id":"W2785283167","doi":"10.21083/partnership.v14i2.4623","title":"Aligning the Stars: Understanding Digital Scholarship Needs to Support the Evolving Nature of Academic Research","year":2019,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scholarship; Digital scholarship; Space (punctuation); Sociology; Public relations; Engineering ethics; Library science; Political science; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0366131,0.0003494014,0.0005593526,0.005287179,0.01548331,0.01953386,0.003070485,0.003264871,0.003699183],"category_scores_gemma":[0.04877771,0.0005547542,0.000339596,0.004956337,0.02029294,0.02641992,0.02321658,0.00356083,0.0008490793],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01590826,"about_ca_system_score_gemma":0.03158825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663566,"about_ca_topic_score_gemma":0.02577998,"domain_scores_codex":[0.9735607,0.01773649,0.00134134,0.001021125,0.003643048,0.00269728],"domain_scores_gemma":[0.9566322,0.01869626,0.003807648,0.002079997,0.00745817,0.01132575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005374333,0.00007944182,0.0114646,0.0002226778,0.000008510002,0.0004443619,0.903968,0.0001718544,0.0006522133,0.04129185,0.002160902,0.03948187],"study_design_scores_gemma":[0.000007132267,0.00004712376,0.002959424,0.0001223007,0.000006466914,0.0001378107,0.950194,0.0003870385,0.0001754261,0.01300443,0.03294178,0.00001703961],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888293,0.001248908,0.01294567,0.03333952,0.0001291247,0.0002107325,0.00006146924,0.0001083945,0.06312692],"genre_scores_gemma":[0.9881169,0.0006646982,0.006950569,0.0007004862,0.00002596038,0.00006142499,0.00004187494,0.00003222031,0.003405985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9840918,"threshold_uncertainty_score":0.1936309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1458439235385288,"score_gpt":0.3398116390395649,"score_spread":0.193967715501036,"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."}}