{"id":"W1453961836","doi":"10.5703/1288284315572","title":"Breaking It Down: Electronic Resource Workflow Documentation","year":2015,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Workflow; Documentation; Computer science; Workflow technology; Workflow engine; Resource (disambiguation); Knowledge management; World Wide Web; Process (computing); Workflow management system; Business process; Data science; Software engineering; Database; Engineering; Work in process; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001928859,0.00009865076,0.00007862261,0.0001332364,0.00009057664,0.0008318145,0.0004621673,0.00003323906,0.00009817225],"category_scores_gemma":[0.0000282345,0.00008398668,0.00003295945,0.0007513792,0.00001404329,0.002363896,0.0001846841,0.00007038277,0.0002747388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009411445,"about_ca_system_score_gemma":0.0001879495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808415,"about_ca_topic_score_gemma":0.00001174145,"domain_scores_codex":[0.9989222,0.00003334697,0.0001624489,0.0002523266,0.000334279,0.0002954118],"domain_scores_gemma":[0.9995245,0.00004894954,0.00004837936,0.0002097787,0.00003574941,0.0001326279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006107017,0.00009344664,0.004123603,0.000007206961,0.00005203055,0.00001698645,0.004869616,0.0005220402,0.00006620985,0.2091169,0.5549552,0.2261156],"study_design_scores_gemma":[0.0006070334,0.0001035412,0.0004673557,0.00001096877,0.000002172306,0.00002393492,0.0002090097,0.005329223,0.00189325,0.03820655,0.9528839,0.0002630442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0137674,0.0001219794,0.1822032,0.004800397,0.0001871878,0.0001494329,1.368636e-7,0.0005629339,0.7982073],"genre_scores_gemma":[0.8766377,0.000006948756,0.0166901,0.003680401,0.0001075773,0.00001874423,0.000006758836,0.00001057941,0.1028412],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8628703,"threshold_uncertainty_score":0.8021206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009736598131874,"score_gpt":0.2379500183298635,"score_spread":0.2178526523485448,"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."}}