{"id":"W4252618314","doi":"10.5596/c16-023","title":"Apps and Mobile Support Services in Canadian Academic Medical Libraries","year":2016,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Promotion (chess); Social media; World Wide Web; Mobile apps; Internet privacy; Mobile device; Medical education; Computer science; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006421046,0.0002539909,0.0005105066,0.00056451,0.0008253657,0.001593109,0.001846683,0.0006483679,0.0002073993],"category_scores_gemma":[0.001778431,0.000185957,0.0001344368,0.0007100279,0.00005497216,0.004191268,0.0001323355,0.001433176,0.000001910822],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01644414,"about_ca_system_score_gemma":0.1018372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8645373,"about_ca_topic_score_gemma":0.9846277,"domain_scores_codex":[0.9936789,0.002008181,0.001210516,0.0002242604,0.001320327,0.001557841],"domain_scores_gemma":[0.9922017,0.002136244,0.002133279,0.0002197754,0.0002924847,0.003016459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001129633,0.00001231401,0.8436885,0.00003562397,0.00009968106,0.0002186868,0.003145313,0.00003499291,0.000006133158,0.005157704,0.143861,0.003728712],"study_design_scores_gemma":[0.0007400957,0.00008047829,0.4045996,0.000289908,0.0000152477,0.0007869258,0.0003208963,0.0005941587,0.00005556468,0.006572899,0.5857068,0.0002374227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.653437,0.04250535,0.0003541748,0.2982612,0.002873055,0.0004890314,0.000298517,0.00006582245,0.001715848],"genre_scores_gemma":[0.9445676,0.01429552,0.00114833,0.03851703,0.001033766,0.000006491252,0.000003596698,0.00002877527,0.0003988727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4418458,"threshold_uncertainty_score":0.9994434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003028772394823527,"score_gpt":0.2227987629265646,"score_spread":0.2197699905317411,"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."}}