{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007586527,0.0004784884,0.0003730858,0.001539225,0.002050864,0.005133293,0.0009903611,0.001422979,0.6854132],"category_scores_gemma":[0.003201975,0.00024081,0.0003910018,0.001721936,0.0005517922,0.002972525,0.002552443,0.001138258,0.4247914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047362,"about_ca_system_score_gemma":0.002261812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005162718,"about_ca_topic_score_gemma":0.007826976,"domain_scores_codex":[0.9992757,0.00008091608,0.00005020013,0.0001412636,0.0003259933,0.0001258454],"domain_scores_gemma":[0.9987267,0.0001474265,0.00008475419,0.0002289712,0.0004492857,0.0003628821],"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":[0.0002069859,0.00008323218,0.002372647,0.0003023097,0.0000128246,0.0003807398,0.000434968,0.0001193748,0.0006499285,0.03532225,0.6094656,0.3506491],"study_design_scores_gemma":[0.00001178537,0.0000140338,0.000867162,0.00007117426,0.000002779565,0.0001095011,0.0001536426,0.00005031661,0.00009414781,0.001727056,0.9968927,0.000005687415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002755925,0.00102005,0.001415862,0.003765411,0.003592829,0.0001138383,0.005971744,0.001047823,0.9803165],"genre_scores_gemma":[0.01702509,0.001133759,0.001396529,0.001739783,0.0006010145,0.00008687931,0.005027592,0.0005853594,0.9724039],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3145868,"threshold_uncertainty_score":0.4487198,"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."}}