{"id":"W2518162742","doi":"10.2196/resprot.5772","title":"Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300","year":2016,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Nutrition Obesity Research Center, University of North Carolina; University of Minnesota; University of Chicago","keywords":"Confidentiality; Amazon rainforest; Health care; Population; Workforce; Cloud computing; Family medicine; Psychology; Quality (philosophy); Medicine; Applied psychology; Medical education; Computer science; Environmental health; Computer security; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005438772,0.0004415735,0.0004441913,0.001685316,0.0009398311,0.0006956132,0.0005404614,0.0009098813,0.008207395],"category_scores_gemma":[0.0139191,0.0003183032,0.0006228241,0.002497204,0.0003717428,0.001024867,0.001437518,0.0009364283,0.003744584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013572,"about_ca_system_score_gemma":0.0008086759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004056557,"about_ca_topic_score_gemma":0.004542232,"domain_scores_codex":[0.9945763,0.002704857,0.001046266,0.0003769472,0.0008665359,0.0004289271],"domain_scores_gemma":[0.9895555,0.003445339,0.003480274,0.0008955823,0.001873561,0.00074982],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009509573,0.001833408,0.8822473,0.0005639041,0.0002367665,0.0002177758,0.006051484,0.0009056423,0.001870488,0.000367409,0.03266687,0.072088],"study_design_scores_gemma":[0.000166993,0.001234031,0.9778264,0.0001103761,0.00003997845,0.0002932739,0.005947244,0.003096098,0.0006692082,0.000379887,0.01018955,0.0000470662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9610422,0.0002149183,0.003260377,0.00132258,0.00006419068,0.004795247,0.020956,0.000145919,0.008198647],"genre_scores_gemma":[0.9704405,0.0002761768,0.007698458,0.001403344,0.000105247,0.01190093,0.005433485,0.00003048281,0.002711337],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9945613,"threshold_uncertainty_score":0.02876335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2105120680387287,"score_gpt":0.5120467758565226,"score_spread":0.3015347078177939,"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."}}