{"id":"W2099435089","doi":"10.1080/13691180902858080","title":"NET AND JET","year":2009,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Embeddedness; Closeness; Business; The Internet; Diversity (politics); Attractiveness; Function (biology); Marketing; Economic geography; Knowledge management; Computer science; Sociology; Geography; World Wide Web; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007834258,0.00005664967,0.00007008474,0.00001947906,0.0008483728,0.0001757752,0.0002232703,0.00008496502,0.0001258827],"category_scores_gemma":[0.00007252005,0.00005889369,0.00004931071,0.0001394529,0.0001262206,0.002031719,0.00002851979,0.0001068563,0.00007223891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006565858,"about_ca_system_score_gemma":0.00006546652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005255208,"about_ca_topic_score_gemma":0.0006964735,"domain_scores_codex":[0.9993876,0.00008133482,0.0002337471,0.00004566114,0.0001323691,0.0001192467],"domain_scores_gemma":[0.9993355,0.00007747889,0.0001349004,0.0002569301,0.0001324661,0.00006270154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004071766,0.00003310012,0.003070669,0.000009215725,0.00001447553,8.447986e-9,0.6793132,0.00004093819,0.000008910951,0.168324,0.1015653,0.04761601],"study_design_scores_gemma":[0.0002689172,0.00001699062,0.03985855,0.00000964232,0.000006941371,4.678064e-7,0.04676529,0.001656608,0.00001847577,0.01051827,0.9007363,0.000143565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4051536,0.001231724,0.007499903,0.04405488,0.0001635191,0.0008197596,0.00001790509,0.0005121005,0.5405467],"genre_scores_gemma":[0.9885263,0.003883944,0.002959965,0.004278344,0.00004569277,0.000008864909,0.00007215582,0.000001572795,0.0002231035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.799171,"threshold_uncertainty_score":0.6525084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469117574152913,"score_gpt":0.2962122951205349,"score_spread":0.2715211193790057,"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."}}