{"id":"W2773316255","doi":"10.29173/jchla/jabsc.v38i3.29342","title":"Writing Effectively in Print and on the Web: A Practical Guide for Librarians","year":2017,"lang":"en","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Web and Library Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University","funders":"","keywords":"World Wide Web; Computer science; Multimedia; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009211237,0.0001825801,0.0003676197,0.0001895899,0.002135501,0.004951679,0.001303303,0.0002500148,0.00001433414],"category_scores_gemma":[0.01092866,0.0001312061,0.0001500043,0.0002131595,0.00003927679,0.002769604,0.0001217638,0.001179488,3.128672e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008139103,"about_ca_system_score_gemma":0.03122345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0954309,"about_ca_topic_score_gemma":0.4107555,"domain_scores_codex":[0.9953568,0.002161213,0.0008178984,0.0001711068,0.0006621606,0.0008308491],"domain_scores_gemma":[0.9887949,0.006629108,0.003355491,0.0002860988,0.000291208,0.0006432082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004418061,0.00003916146,0.5966254,0.0000440765,0.0001906856,0.0001123295,0.002370701,0.0001421691,0.00001540368,0.04362739,0.3546634,0.002125066],"study_design_scores_gemma":[0.0009403861,0.0001419934,0.7245972,0.0002438229,0.00002198371,0.0003819227,0.0003710486,0.005729795,0.00008119119,0.01484776,0.2524526,0.0001902951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3120406,0.006313583,0.001828937,0.6735824,0.001883262,0.0008030292,0.0001296748,0.00003673284,0.003381727],"genre_scores_gemma":[0.9563977,0.002307454,0.008874164,0.03087881,0.001218806,0.00001165578,0.000001067855,0.0000268197,0.0002834943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6443571,"threshold_uncertainty_score":0.9991636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00915580541097452,"score_gpt":0.2688934066017251,"score_spread":0.2597376011907506,"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."}}