{"id":"W2147333695","doi":"10.1184/r1/6586985","title":"The Effect of Intensity of Effort to Reach Survey Respondents: A Toronto Smoking Survey","year":2018,"lang":"en","type":"article","venue":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Markov chain Monte Carlo; Metropolitan area; Statistics; Econometrics; Markov chain; Telephone survey; Survey data collection; Psychology; Bayesian inference; Bayesian probability; Mathematics; Geography; Advertising; Business; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.1144402,0.0004532266,0.001073729,0.001276087,0.003140595,0.00009688273,0.002972933,0.0006553566,0.0002122531],"category_scores_gemma":[0.03253192,0.0004436534,0.0004268701,0.005025911,0.004945778,0.0008078571,0.001558962,0.0009937576,0.00004515672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002129662,"about_ca_system_score_gemma":0.00152323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3049123,"about_ca_topic_score_gemma":0.385482,"domain_scores_codex":[0.9165232,0.07808692,0.0004941411,0.001123033,0.00214333,0.001629392],"domain_scores_gemma":[0.945237,0.04771952,0.0004116401,0.001557779,0.004207695,0.0008663789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.226329,0.0004906762,0.7079442,0.0001729637,0.001425971,0.001568584,0.02251601,0.00004963256,0.006434433,0.005887215,0.01918138,0.007999876],"study_design_scores_gemma":[0.004191684,0.005031192,0.7053167,0.0002867124,0.0003015655,0.00001329217,0.0477387,0.00006252644,0.03158059,0.0000729313,0.2042917,0.00111247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704717,0.0002132429,0.0003730536,0.0002209066,0.0009219039,0.001186172,0.0002258355,0.0001003759,0.02628684],"genre_scores_gemma":[0.9791029,0.0009614043,0.0001400327,0.00001725645,0.0001547281,8.179929e-7,0.00004771036,0.00003809141,0.01953703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2221374,"threshold_uncertainty_score":0.9998015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2482202709650861,"score_gpt":0.459361178722287,"score_spread":0.211140907757201,"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."}}