{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1286447,0.001905348,0.002334326,0.005303037,0.004912246,0.009182724,0.007778026,0.005208673,0.05466488],"category_scores_gemma":[0.4190604,0.002070188,0.002968735,0.01188932,0.002880466,0.007342767,0.00643082,0.005457595,0.03519523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003418184,"about_ca_system_score_gemma":0.01281202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04740461,"about_ca_topic_score_gemma":0.07882971,"domain_scores_codex":[0.9091166,0.05421327,0.01395144,0.007705851,0.01256086,0.002451967],"domain_scores_gemma":[0.7057429,0.09784827,0.01905801,0.1107851,0.06150609,0.005059653],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004318454,0.0001759825,0.02686897,0.003528115,0.000709415,0.0001976073,0.001752834,0.000590483,0.0003662348,0.01272673,0.9229372,0.02971454],"study_design_scores_gemma":[0.001844989,0.0001762973,0.03377934,0.0067812,0.000587045,0.0002903581,0.002347809,0.001862307,0.001068866,0.02215364,0.9288231,0.0002851266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0142323,0.003259154,0.02644094,0.03969621,0.007189736,0.01024438,0.8534154,0.002651987,0.04286993],"genre_scores_gemma":[0.08326226,0.001640291,0.08754987,0.01780386,0.001619116,0.06683231,0.7179675,0.003036637,0.02028815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8713554,"threshold_uncertainty_score":0.6803461,"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."}}