{"id":"W2156627773","doi":"10.1002/cjs.11153","title":"Blending domain estimates from two victimization surveys with possible bias","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Domain (mathematical analysis); Context (archaeology); Small area estimation; Survey data collection; Measure (data warehouse); Econometrics; Survey methodology; Estimation; Survey research; Geography; Computer science; Mathematics; Psychology; Data mining; Engineering; Applied psychology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06456508,0.00102975,0.002105435,0.0044566,0.0008317636,0.003836026,0.00267849,0.001673223,0.003509779],"category_scores_gemma":[0.2428991,0.001185573,0.001877263,0.005741162,0.002425226,0.003934823,0.006647127,0.002780473,0.0006732964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437838,"about_ca_system_score_gemma":0.00118715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005619967,"about_ca_topic_score_gemma":0.004499078,"domain_scores_codex":[0.9441998,0.04458684,0.002005761,0.004246037,0.004254994,0.0007065514],"domain_scores_gemma":[0.8373048,0.1168627,0.01102963,0.02610943,0.007755324,0.000938222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008055144,0.000339302,0.1634154,0.0009002756,0.001943303,0.0003757658,0.003733393,0.1060116,0.003299947,0.2130699,0.004295052,0.5018106],"study_design_scores_gemma":[0.0001680599,0.0004747351,0.05008066,0.0005198794,0.0005816862,0.0003754279,0.001341516,0.5726143,0.00461421,0.3499371,0.01909205,0.0002004079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02904044,0.0002464433,0.9690437,0.0002427545,0.00006127017,0.0001542513,0.0001662373,0.0001517798,0.0008931905],"genre_scores_gemma":[0.4505736,0.0003324742,0.5447872,0.0001979642,0.0001398207,0.0007300628,0.0008805445,0.0001241903,0.002234193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06456508,"threshold_uncertainty_score":0.3414568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084992718008087,"score_gpt":0.3213092735301998,"score_spread":0.2128100017293911,"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."}}