{"id":"W2497890192","doi":"","title":"Use of Admail and a geographic information system to send surveys to target populations.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"","keywords":"Geography; Economic rent; Cartography; Population; Distribution (mathematics); Welfare economics; Demography; Sociology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.00534805,0.000335586,0.0001904992,0.003611091,0.001622632,0.001031906,0.001394407,0.0003403176,0.01443135],"category_scores_gemma":[0.01620571,0.000277921,0.000154395,0.003537567,0.0006724746,0.0009077879,0.001671654,0.0003965221,0.002534862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008368012,"about_ca_system_score_gemma":0.02204614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7135429,"about_ca_topic_score_gemma":0.8349746,"domain_scores_codex":[0.9944152,0.002349716,0.0005325787,0.0003847802,0.001956206,0.000361493],"domain_scores_gemma":[0.9876791,0.003302071,0.001700865,0.001211598,0.0053915,0.0007150074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002971522,0.0002501507,0.1251667,0.001877929,0.00005241378,0.0002531445,0.008983666,0.0004603957,0.003888804,0.006335546,0.06165906,0.7907751],"study_design_scores_gemma":[0.0001658069,0.0007957651,0.5027831,0.0008855076,0.00008227224,0.0006828086,0.008914758,0.002587516,0.005076817,0.001263044,0.4765939,0.0001687484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2958264,0.004834086,0.1651694,0.01105296,0.0007386519,0.03416679,0.0562793,0.004052583,0.4278798],"genre_scores_gemma":[0.6302911,0.003851391,0.2374665,0.002497119,0.0002447082,0.01472505,0.02263001,0.000161781,0.08813242],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7135429,"threshold_uncertainty_score":0.5762881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2608153760741409,"score_gpt":0.3604365890289776,"score_spread":0.09962121295483672,"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."}}