{"id":"W2091969552","doi":"10.12927/cjnl.2009.21151","title":"Informatics around the Globe","year":2009,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Globe; Informatics; Health informatics; Library science; Political science; Medical education; Medicine; Computer science; Nursing; Law; Ophthalmology; Public health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003051686,0.0007787963,0.0007370435,0.003999015,0.003612464,0.01685773,0.00112053,0.003555449,0.1535713],"category_scores_gemma":[0.01010315,0.0002758432,0.0003889305,0.007218726,0.002700303,0.01090484,0.008197964,0.005317247,0.09449593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002768359,"about_ca_system_score_gemma":0.005874588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194895,"about_ca_topic_score_gemma":0.002381082,"domain_scores_codex":[0.9966209,0.0008535706,0.0002124545,0.0004876335,0.001300831,0.0005246468],"domain_scores_gemma":[0.9927104,0.001058821,0.0004597536,0.0009108834,0.00172262,0.003137588],"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":[0.000007943227,0.00001541563,0.0002702101,0.0001143415,0.000004850108,0.00005060985,0.000556134,0.00003554351,0.0001282851,0.03468298,0.8761621,0.08797149],"study_design_scores_gemma":[7.373362e-7,0.000002039493,0.0001313919,0.00009872354,8.178702e-7,0.00002583601,0.0001874439,0.000007678444,0.00001399449,0.002140296,0.9973888,0.000002210531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001123319,0.05765318,0.002254163,0.1744472,0.0267532,0.00007271614,0.000861465,0.001163385,0.7356713],"genre_scores_gemma":[0.02401583,0.07059226,0.003551146,0.0883299,0.02480569,0.0001703724,0.002071143,0.0006562755,0.7858075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9831423,"threshold_uncertainty_score":0.5137472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2678417951093204,"score_gpt":0.3112029594221181,"score_spread":0.04336116431279768,"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."}}