{"id":"W3202780289","doi":"10.2139/ssrn.3929628","title":"Assessing Repeated and Rescheduled Attempts in Random Digit Dial Surveys","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Numerical digit; Dial; Psychology; Statistics; Mathematics; Engineering; Arithmetic","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.06543909,0.0008607977,0.001436254,0.003019619,0.001196042,0.002588621,0.002299712,0.003214079,0.001183201],"category_scores_gemma":[0.2933412,0.00078413,0.001528455,0.001622782,0.0008549816,0.002291627,0.001946777,0.002571428,0.001073734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358442,"about_ca_system_score_gemma":0.001814099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00418065,"about_ca_topic_score_gemma":0.005629357,"domain_scores_codex":[0.917419,0.05603656,0.00754423,0.004186762,0.01330644,0.00150703],"domain_scores_gemma":[0.6058788,0.2646025,0.04598109,0.05171339,0.02708725,0.004736803],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001972085,0.002324329,0.8800175,0.0003101084,0.0009315177,0.0001262585,0.007316953,0.001978009,0.002136946,0.0007060017,0.0009217583,0.1012586],"study_design_scores_gemma":[0.0001005397,0.004421591,0.9762396,0.0001735141,0.0004044046,0.0004332075,0.001940997,0.01066419,0.0032609,0.0009477619,0.001272601,0.000140731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920503,0.0002054345,0.005315594,0.00009792869,0.00005190369,0.0004194828,0.0003573968,0.0001160233,0.001385959],"genre_scores_gemma":[0.9870331,0.0001334921,0.009987636,0.0001821472,0.00004401459,0.0006622844,0.0005755405,0.0000392084,0.0013426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9345609,"threshold_uncertainty_score":0.3460791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07633032381335834,"score_gpt":0.4169001246237483,"score_spread":0.3405698008103899,"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."}}