{"id":"W2134957141","doi":"10.1016/j.jmir.2012.06.005","title":"Designing and Using Surveys as Research and Evaluation Tools","year":2012,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Computer science; Process (computing); Survey research; Reading (process); Survey methodology; Data science; Management science; Process management; Engineering; Psychology; Medicine; Applied psychology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3917342,0.00003966838,0.0001070095,0.0002433623,0.0009902986,0.0001879263,0.0001091884,0.00006446107,0.00006086884],"category_scores_gemma":[0.06683242,0.00002939505,0.0000111489,0.0003501509,0.001647888,0.0009946333,0.00003097793,0.0002230552,6.269623e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003072477,"about_ca_system_score_gemma":0.0006139805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000346264,"about_ca_topic_score_gemma":0.00001960217,"domain_scores_codex":[0.9777052,0.02001932,0.0002170139,0.0001001686,0.001708503,0.0002497443],"domain_scores_gemma":[0.9826571,0.01661594,0.0001356707,0.00002613189,0.0002567131,0.000308501],"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":[0.00006394278,0.00003049666,0.4696448,0.00000481501,0.00001026424,0.000005372998,0.02013682,0.000005352844,0.0008311235,0.0008507371,0.0003832325,0.508033],"study_design_scores_gemma":[0.0007159543,0.0001067507,0.9250678,0.0001179061,0.00003109833,0.0003053351,0.05891453,0.005863286,0.0003388255,0.005044945,0.003366892,0.00012665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758175,0.01336085,0.003598872,0.006297322,0.0005082632,0.0000535699,2.134727e-7,0.000003112208,0.0003602654],"genre_scores_gemma":[0.9944205,0.002153315,0.002823707,0.0001115309,0.0004747612,5.28038e-7,1.012061e-7,0.000001608836,0.00001394803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5079063,"threshold_uncertainty_score":0.9410281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6381127672705474,"score_gpt":0.6160748176877491,"score_spread":0.02203794958279837,"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."}}