{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00176689,0.00009157743,0.0001250628,0.00006180374,0.0001863666,0.01147698,0.002002764,0.00002576861,0.00007730744],"category_scores_gemma":[0.002282927,0.00007589134,0.00001616648,0.0002193283,0.0001044636,0.02512474,0.003388565,0.00009716519,0.0002032349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001294834,"about_ca_system_score_gemma":0.00007279582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005104604,"about_ca_topic_score_gemma":0.00004564865,"domain_scores_codex":[0.9984173,0.00004487308,0.0003515818,0.0005561468,0.0003765882,0.000253523],"domain_scores_gemma":[0.9984905,0.00009061487,0.0004431756,0.0007490139,0.0001145968,0.0001121487],"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":[0.00001511202,0.00005620109,0.01200376,0.000003927823,0.00005100253,0.0001415133,0.0005921214,0.00000100017,0.0004482631,0.002055094,0.001543151,0.9830889],"study_design_scores_gemma":[0.000490321,0.0003299177,0.009321599,0.00004674099,0.00001351735,0.00007703955,0.0006080414,0.002833357,0.007788531,0.000642066,0.9775164,0.000332477],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6084129,0.00003994719,0.04877207,0.002240044,0.000163805,0.0005054102,0.00002428877,0.00001595325,0.3398255],"genre_scores_gemma":[0.9316481,0.00001156956,0.06203711,0.00003887504,0.000070606,0.000006253518,0.00001838878,0.000005650335,0.006163414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9827564,"threshold_uncertainty_score":0.9895492,"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."}}