{"id":"W2797003362","doi":"10.4337/9781783476589.00014","title":"Millennials: who are they, how are they different, and why should we care?","year":2015,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Generation x; Baby boomers; PARRY; Workforce; Generation y; Political science; History; Geography; Sociology; Demographic economics; Demography; Marketing; Business; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002031048,0.0007984655,0.001262184,0.0003127053,0.001071878,0.007059266,0.001278536,0.001602818,0.00006156808],"category_scores_gemma":[0.004070001,0.0007076764,0.0003823117,0.00003522973,0.0006958648,0.001056288,0.0005655178,0.001561654,0.00002276905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005575422,"about_ca_system_score_gemma":0.0005073009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626948,"about_ca_topic_score_gemma":0.0300794,"domain_scores_codex":[0.9951223,0.000436446,0.0004716572,0.001003407,0.002005299,0.0009608541],"domain_scores_gemma":[0.9960388,0.000813608,0.0008175956,0.000645443,0.0008215079,0.0008630482],"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":[0.00008607352,0.00003490422,0.001134359,0.000467504,0.0003478276,0.0001243182,0.1334362,3.856948e-7,0.000001962864,0.1138197,0.5777999,0.1727469],"study_design_scores_gemma":[0.000347804,0.00004526096,0.0001251708,0.001661888,0.0001050863,0.000001965779,0.02000886,7.236342e-7,0.000001358703,0.0579626,0.9189261,0.0008131827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001220796,0.005284619,0.000004138485,0.01076334,0.003066667,0.0006964146,0.0003058265,0.000533634,0.9781246],"genre_scores_gemma":[0.186238,0.001411308,0.00004410671,0.001001841,0.006346419,0.00006013789,0.00008442293,0.0002758454,0.804538],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3411263,"threshold_uncertainty_score":0.9996933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07594491471589741,"score_gpt":0.2817892677975751,"score_spread":0.2058443530816777,"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."}}