{"id":"W2110333938","doi":"10.1089/tmj.2013.0350","title":"Choice of Rating Scale Labels: Implication for Minimizing Patient Satisfaction Response Ceiling Effect in Telemedicine Surveys","year":2014,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"University Health Network","keywords":"Ceiling effect; Respondent; Rating scale; Likert scale; Psychology; Scale (ratio); Ceiling (cloud); Statistics; Reliability (semiconductor); Population; Social psychology; Applied psychology; Mathematics; Medicine; Engineering; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1700373,0.00012608,0.0005265343,0.0002904608,0.0006550982,0.00001299513,0.0000802084,0.00009484477,0.00002385618],"category_scores_gemma":[0.02770285,0.0001004654,0.00004653298,0.0003568064,0.0001685063,0.0001263861,0.00001723584,0.0003415316,4.867169e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554107,"about_ca_system_score_gemma":0.0004172453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00481906,"about_ca_topic_score_gemma":0.005231822,"domain_scores_codex":[0.9716004,0.02631062,0.0009777755,0.0002401907,0.0003724821,0.0004984993],"domain_scores_gemma":[0.9796444,0.01909268,0.0007020072,0.0001091912,0.0001555714,0.0002961456],"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":[0.00301544,0.00004453941,0.4393649,0.0001695196,0.0000175667,9.396027e-7,0.01711294,0.00001162413,0.00702936,0.00003470072,0.0009634035,0.532235],"study_design_scores_gemma":[0.00211793,0.002643956,0.9880573,0.0003843133,0.00001171417,0.00001401858,0.003863693,0.0001242286,0.0005335153,0.0002684961,0.001887849,0.00009297358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794276,0.001082951,0.006588694,0.01184669,0.0004470035,0.0005376298,0.000004321094,0.00001855496,0.00004655268],"genre_scores_gemma":[0.9941865,0.0006797255,0.003913444,0.0006662268,0.0004932531,0.00001814952,0.000004772853,0.00001113138,0.00002685444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5486924,"threshold_uncertainty_score":0.9804872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1351832885805118,"score_gpt":0.4648114903542964,"score_spread":0.3296282017737847,"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."}}