{"id":"W3124322873","doi":"10.5703/1288284317202","title":"Professional Learning and Inbetween Publishing: The Tasks of the Charleston Briefings","year":2020,"lang":"en","type":"article","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Workflow; Publishing; Context (archaeology); Subject (documents); Computer science; World Wide Web; Digital library; Library science; Sociology; History; Political science; Database; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02370366,0.000443816,0.0002980707,0.00212575,0.0148241,0.02963008,0.001728977,0.00350074,0.009853889],"category_scores_gemma":[0.05909413,0.0005899922,0.0003521612,0.002834863,0.01395345,0.02092037,0.007591324,0.006091248,0.003369667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01166178,"about_ca_system_score_gemma":0.02152603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012219,"about_ca_topic_score_gemma":0.01105214,"domain_scores_codex":[0.9782963,0.01323852,0.001112145,0.001047655,0.004614714,0.001690737],"domain_scores_gemma":[0.957679,0.02438975,0.001898979,0.003556141,0.006302515,0.006173544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005212236,0.00006785815,0.0007391459,0.0002092097,0.000004992776,0.0003539303,0.05672549,0.0002427486,0.0005153937,0.6360177,0.1775551,0.1275162],"study_design_scores_gemma":[0.000007552109,0.00003684975,0.0004951861,0.0002282177,0.000003135053,0.0001146134,0.02264447,0.0001828057,0.0003203467,0.05547577,0.9204654,0.00002560653],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04017297,0.01378503,0.0407425,0.353694,0.01417119,0.0005129834,0.0000999765,0.0009153939,0.5359059],"genre_scores_gemma":[0.4688066,0.01738814,0.06178949,0.04029996,0.00708188,0.0009297316,0.0002262464,0.001277143,0.4022007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9703699,"threshold_uncertainty_score":0.1253585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06365577508943132,"score_gpt":0.2283954657291546,"score_spread":0.1647396906397233,"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."}}