{"id":"W4381052366","doi":"10.1177/20597991231179393","title":"Analysis of Delphi study 7-point linear scale data by parametric methods: Use of the mean and standard deviation","year":2023,"lang":"en","type":"article","venue":"Methodological Innovations","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Statistics; Standard deviation; Ranking (information retrieval); Statistic; Delphi method; Interquartile range; Delphi; Sample size determination; Mathematics; Scale (ratio); Sample (material); Rating scale; Confidence interval; Econometrics; Computer science; Geography; Information retrieval","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":[0.07856327,0.0008545499,0.0007623695,0.005555757,0.001839838,0.002799082,0.001202582,0.0005632919,0.009211271],"category_scores_gemma":[0.188499,0.0005594709,0.00108352,0.004087495,0.001909444,0.002130077,0.003574865,0.001167286,0.001322627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002681042,"about_ca_system_score_gemma":0.00411614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234489,"about_ca_topic_score_gemma":0.00116412,"domain_scores_codex":[0.8540004,0.1081671,0.006769681,0.004037153,0.02507183,0.001953776],"domain_scores_gemma":[0.7825838,0.1511986,0.007811856,0.007531095,0.05003794,0.000836762],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001690079,0.0009237214,0.05280068,0.007244898,0.0005937418,0.0009464144,0.2308933,0.009453288,0.01179292,0.04654434,0.02621372,0.6109029],"study_design_scores_gemma":[0.0005886882,0.008092734,0.1858142,0.008954009,0.0006055446,0.002098822,0.4101936,0.07560646,0.0385618,0.05737867,0.2113335,0.0007720406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5868748,0.0004776402,0.3004136,0.001155208,0.0003016801,0.03461868,0.002888102,0.0005191588,0.07275115],"genre_scores_gemma":[0.7876717,0.0004978513,0.1614357,0.0004956175,0.00007284195,0.04297221,0.001171248,0.000192838,0.005490062],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9214367,"threshold_uncertainty_score":0.4154872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7881301697987657,"score_gpt":0.6301456793793678,"score_spread":0.1579844904193979,"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."}}