{"id":"W2740611375","doi":"","title":"An application of SAS ® Simulation Studio: The Microsimulation of a Computer Assisted Telephone Interviewing System","year":2011,"lang":"en","type":"article","venue":"","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Interview; Studio; Computer science; Revenue; Data collection; Operations research; Variety (cybernetics); Field (mathematics); Simulation; Statistics; Engineering; Transport engineering; Telecommunications; Business; Artificial intelligence; Mathematics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003468218,0.0007646733,0.0007189161,0.0006484027,0.0003219846,0.0008603688,0.001556206,0.0005682904,0.01780231],"category_scores_gemma":[0.01040345,0.0007743204,0.0009179614,0.000698283,0.0002701655,0.0006283221,0.0009319374,0.001662035,0.002756862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591032,"about_ca_system_score_gemma":0.001606834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004120192,"about_ca_topic_score_gemma":0.002912761,"domain_scores_codex":[0.9981759,0.001051204,0.0001689213,0.0001688034,0.0003105842,0.000124608],"domain_scores_gemma":[0.988924,0.008903655,0.0005084546,0.0007574901,0.000723997,0.0001824716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002187215,0.0009003712,0.01342184,0.002379127,0.001335543,0.0007610316,0.002308972,0.3892772,0.02530313,0.05790679,0.1033036,0.4009151],"study_design_scores_gemma":[0.0004196569,0.0003431865,0.00284013,0.0001344519,0.0001795874,0.0003106667,0.0001456256,0.8822326,0.01663546,0.007290798,0.0893711,0.0000966675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01457856,0.00008276349,0.9337674,0.0001940184,0.0001420587,0.0005746215,0.002471827,0.04351225,0.004676519],"genre_scores_gemma":[0.1443444,0.0002819622,0.8360143,0.0001888545,0.00009008565,0.004379687,0.00262801,0.007083225,0.004989327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01780231,"threshold_uncertainty_score":0.0595547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.339897110067397,"score_gpt":0.4580769603161253,"score_spread":0.1181798502487283,"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."}}