{"id":"W2597558216","doi":"10.1111/area.12333","title":"Linking online social proximity and workplace location: social enterprise employees in British Columbia","year":2017,"lang":"en","type":"article","venue":"Area","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Betweenness centrality; Marketing buzz; Metropolitan area; Centrality; Social network analysis; Downtown; Social network (sociolinguistics); Social media; Business; Public relations; Marketing; Sociology; Geography; Social capital; Political science; Advertising; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006511465,0.00006487924,0.0001753848,0.00001676607,0.002423503,0.001732224,0.0002759724,0.0001506639,0.00002940505],"category_scores_gemma":[0.001203011,0.000112341,0.00004122885,0.00009955258,0.0005848001,0.0004521231,0.0001111238,0.0001720042,0.000002750556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008880457,"about_ca_system_score_gemma":0.0001578529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04188095,"about_ca_topic_score_gemma":0.724157,"domain_scores_codex":[0.9988995,0.0001379338,0.0001655518,0.0002215935,0.0002740097,0.0003014159],"domain_scores_gemma":[0.9994876,0.0001183116,0.0001339796,0.00008728826,0.0000966957,0.00007608618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001020642,0.0001408209,0.8488824,0.00001974988,0.000008080558,0.00001804084,0.01874077,6.195856e-8,9.578732e-7,0.0002143997,0.003375966,0.1285885],"study_design_scores_gemma":[0.0003453275,0.00001345183,0.980796,0.0001366107,0.000007282505,5.264977e-7,0.005601815,0.000005161412,2.432824e-7,0.003349215,0.009591934,0.0001524165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745345,0.00003486769,0.000003600162,0.003289674,0.0002991481,0.0001778848,0.00002081177,0.00006558807,0.0215739],"genre_scores_gemma":[0.9961072,0.00005762529,0.00005274572,0.0001568094,0.0008652321,0.00001527881,0.00001191743,0.00001089167,0.002722342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6822761,"threshold_uncertainty_score":0.9993041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654435450050198,"score_gpt":0.2963361941960081,"score_spread":0.2697918396955061,"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."}}