{"id":"W6921613034","doi":"10.7910/dvn/ggoinz","title":"Replication Data for: Promises and Limits of Using Targeted Social Media Advertising to Sample Global Migrant Populations: Nigerians at Home and Abroad","year":2024,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nigerians; Representativeness heuristic; Sample (material); Population; Social media; Replication (statistics); Sampling bias; Sampling (signal processing)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007575965,0.0005512476,0.0008172112,0.000347063,0.0004059109,0.0002329949,0.0009219507,0.0003769993,0.0004326737],"category_scores_gemma":[0.004036443,0.0005983405,0.00008347767,0.000615785,0.0002324339,0.0008372401,0.002051365,0.0001947329,0.003464457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005037141,"about_ca_system_score_gemma":0.0002251015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002715175,"about_ca_topic_score_gemma":0.01491423,"domain_scores_codex":[0.9960499,0.0001417173,0.0008842637,0.001827008,0.0005862426,0.0005108182],"domain_scores_gemma":[0.995305,0.0002710329,0.0005565861,0.003408154,0.000194675,0.000264572],"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":[0.0006469817,0.0000664235,0.0002166652,0.0008385354,0.0001786104,0.00001044378,0.00026709,0.000007659022,0.001555262,0.00002041125,0.9957062,0.0004857341],"study_design_scores_gemma":[0.0008732309,0.00004409804,0.001866825,0.0004696352,0.001200971,0.00004661848,0.0001460577,0.0008166364,0.00002562496,0.0002185457,0.9936826,0.0006091338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01396883,0.00005356365,0.0001809482,0.00001436831,0.0004620094,0.001609051,0.9835994,0.0001102881,0.00000157181],"genre_scores_gemma":[0.0003534264,0.0001216427,0.01366479,0.00005976027,0.0003380326,0.00006242518,0.985292,0.000103982,0.000003925205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01361541,"threshold_uncertainty_score":0.9996468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08346795441496783,"score_gpt":0.3519743453758384,"score_spread":0.2685063909608705,"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."}}