{"id":"W2561509029","doi":"10.26443/el.v36i2.330","title":"Resources on the Net: Catching Up with Technological Trends in Academic Libraries – Cloud Computing Services, Big Data and Digital Curation","year":2017,"lang":"en","type":"article","venue":"Education Libraries","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Listing (finance); Terminology; Cloud computing; Column (typography); Point (geometry); Computer science; World Wide Web; Big data; Data science; Perception; Knowledge management; Business; Telecommunications; Psychology","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":[0.00279778,0.0004434156,0.0003714933,0.002600913,0.009171135,0.03098351,0.001249476,0.003026147,0.02697322],"category_scores_gemma":[0.00737553,0.0003497379,0.0004057782,0.00599758,0.005679309,0.0336085,0.005869522,0.005141909,0.01187358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00419251,"about_ca_system_score_gemma":0.006131989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008197201,"about_ca_topic_score_gemma":0.03873629,"domain_scores_codex":[0.9974596,0.000750238,0.0001527204,0.0001731475,0.00107955,0.0003848599],"domain_scores_gemma":[0.9946066,0.002116085,0.0004651211,0.0003675242,0.001126962,0.00131773],"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":[0.00001943256,0.0000215888,0.0005509463,0.0002128473,0.000005754996,0.000167186,0.005363568,0.00006904746,0.0003888084,0.04745744,0.8517067,0.0940367],"study_design_scores_gemma":[0.000001626185,0.000006162067,0.0003826832,0.0002068203,0.000003328249,0.0001049155,0.00584951,0.00005316557,0.0001886151,0.004696389,0.9884946,0.00001214505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.009275145,0.02061584,0.006250576,0.5648638,0.03246539,0.00007673878,0.0004352304,0.001490147,0.3645271],"genre_scores_gemma":[0.1056869,0.05178164,0.02129124,0.2044918,0.02306386,0.0001584894,0.001150528,0.003178924,0.5891966],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9690165,"threshold_uncertainty_score":0.0902344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06381758816577292,"score_gpt":0.2938543106683792,"score_spread":0.2300367225026063,"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."}}