{"id":"W6888825333","doi":"10.23640/07243.7249991","title":"Blog: Streamlining Faculty Reporting: ORCID and Digital Measures","year":2018,"lang":"en","type":"article","venue":"Open MIND","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital era; Information system; Work (physics); Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008839168,0.0004225383,0.000378583,0.002518536,0.003370322,0.008384738,0.001310224,0.002276128,0.1352732],"category_scores_gemma":[0.05089851,0.0003529527,0.0002901465,0.002943037,0.002039584,0.007027207,0.003380194,0.003086613,0.03651255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118122,"about_ca_system_score_gemma":0.006459951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008180087,"about_ca_topic_score_gemma":0.02764878,"domain_scores_codex":[0.9962508,0.0009035708,0.0002935575,0.0002098237,0.002000206,0.000342037],"domain_scores_gemma":[0.9527296,0.02219798,0.003500096,0.00369942,0.01100423,0.006868604],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002359548,0.0000256927,0.0003862137,0.00007452971,0.000001937542,0.00003130783,0.0003174911,0.00000997029,0.0001315928,0.001861511,0.9482347,0.04890133],"study_design_scores_gemma":[0.00002044264,0.00003478823,0.001392729,0.0001074238,0.000004931183,0.000038157,0.0007018025,0.00006094785,0.0002117226,0.0008430398,0.9965642,0.00001983121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.007680383,0.003196714,0.004962276,0.4248699,0.06766895,0.0004387343,0.006542529,0.01001727,0.4746232],"genre_scores_gemma":[0.05916269,0.00503324,0.01283647,0.09078679,0.040916,0.0004017746,0.00736915,0.004979772,0.7785141],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9911608,"threshold_uncertainty_score":0.4525338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3714932137814252,"score_gpt":0.4612978116785938,"score_spread":0.0898045978971686,"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."}}