{"id":"W164712359","doi":"","title":"Enhancing Peripheral Vision through Social Media Use: A Social Network Perspective","year":2011,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Prosperity; Peripheral vision; Social media; Perspective (graphical); Knowledge management; Business; Set (abstract data type); Position (finance); Quality (philosophy); Computer science; Social network (sociolinguistics); Personal information management; Internet privacy; Information system; Management information systems; World Wide Web; Engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001782827,0.0004962544,0.000198,0.002082129,0.002043073,0.006519891,0.0006592598,0.0011887,0.005304023],"category_scores_gemma":[0.004653126,0.0002305977,0.0002415393,0.0008488674,0.00332186,0.007639484,0.003241466,0.001055052,0.0002978713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546493,"about_ca_system_score_gemma":0.001120537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767684,"about_ca_topic_score_gemma":0.002492213,"domain_scores_codex":[0.9983048,0.0009931914,0.00003703992,0.0001536687,0.0002668994,0.0002443698],"domain_scores_gemma":[0.9944121,0.00275004,0.001122645,0.0002908375,0.0005441266,0.0008802754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005567942,0.001540579,0.1081945,0.001062848,0.0002161123,0.001453112,0.08051214,0.003494052,0.01577001,0.4978493,0.006502192,0.2828484],"study_design_scores_gemma":[0.00013703,0.001614894,0.2275799,0.001055123,0.0004357095,0.002127682,0.1450656,0.02654055,0.01296572,0.440974,0.1412855,0.0002182447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6633866,0.002360751,0.02671796,0.01424639,0.0001086738,0.0001139246,0.0001275958,0.0001072642,0.292831],"genre_scores_gemma":[0.9954299,0.0003860817,0.002027398,0.0001349254,0.00002773775,0.00001550326,0.00001071855,0.000006585801,0.00196112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006519891,"threshold_uncertainty_score":0.01774365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04612523436776605,"score_gpt":0.3042003108145611,"score_spread":0.2580750764467951,"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."}}