{"id":"W1505872788","doi":"10.18438/b8fw48","title":"Google Wave: Have CTSI-Minded Institutions Caught It?","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; U.S. National Library of Medicine; Oak Ridge Institute for Science and Education; Georgia Clinical and Translational Science Alliance","keywords":"Translational science; Social media; Public relations; Situated; Medical education; Medicine; Psychology; Library science; World Wide Web; Computer science; Sociology; Political science; Social science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02571399,0.0004874813,0.0005686051,0.003452172,0.008700146,0.0155184,0.002698486,0.003268534,0.02301219],"category_scores_gemma":[0.1311597,0.0006248093,0.0009683158,0.007718673,0.00727782,0.02520373,0.01144654,0.00346973,0.004659263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00754543,"about_ca_system_score_gemma":0.01248291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03440941,"about_ca_topic_score_gemma":0.04542112,"domain_scores_codex":[0.9742465,0.01263498,0.001343667,0.001245964,0.005763803,0.004765267],"domain_scores_gemma":[0.9140446,0.04365768,0.01117504,0.00744593,0.01372785,0.009948934],"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":[0.0008805381,0.0005030909,0.2860385,0.003129577,0.000106733,0.001549929,0.2271778,0.0002562269,0.0004721177,0.03802887,0.2368151,0.2050414],"study_design_scores_gemma":[0.0001257994,0.0004272225,0.1106261,0.003103171,0.000144524,0.0009909745,0.618803,0.0007620394,0.0008801033,0.007307486,0.2565906,0.0002390201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6352149,0.003446029,0.003706438,0.1776369,0.00237129,0.001831595,0.006039049,0.0007268573,0.169027],"genre_scores_gemma":[0.9638058,0.002092151,0.002535823,0.01690468,0.0004678992,0.001012513,0.00152137,0.0002897627,0.01137007],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03440941,"threshold_uncertainty_score":0.1359902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09051658641191304,"score_gpt":0.3902233114900908,"score_spread":0.2997067250781777,"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."}}