{"id":"W6913032531","doi":"10.5281/zenodo.826439","title":"Presentation Of The Paper \"Improving Success/Completion Ratio In Large Surveys: A Proposal Based On Usability And Engagement\" In Hcii 2017","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Presentation (obstetrics); Session (web analytics); Population; Test (biology); Computer-assisted web interviewing; Questionnaire","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00440135,0.00009021274,0.0001149411,0.000119101,0.001222358,0.000792895,0.001472356,0.00004063287,0.0003046574],"category_scores_gemma":[0.001932435,0.00007765988,0.000025197,0.0002186644,0.000164073,0.0008227081,0.001131322,0.0002398789,0.00006027134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000949566,"about_ca_system_score_gemma":0.00001200911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002158631,"about_ca_topic_score_gemma":0.00006004333,"domain_scores_codex":[0.9969651,0.00187666,0.0002548628,0.0003760217,0.0003188137,0.0002085538],"domain_scores_gemma":[0.998618,0.00007664587,0.0001631452,0.0008926259,0.0002068743,0.00004269651],"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":[0.001116341,0.007978051,0.1945661,0.002118367,0.00009336651,0.00004958264,0.04516179,0.00781048,0.1196003,0.09370442,0.01522827,0.5125729],"study_design_scores_gemma":[0.001151153,0.0002203166,0.8706141,0.00007106724,0.000002911194,0.00000275927,0.0001091902,0.1173911,0.002336238,0.0005847101,0.007378911,0.0001375839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858874,0.00001259982,0.09969802,0.003735068,0.0001627749,0.001458096,0.00006297199,0.0001500209,0.00883302],"genre_scores_gemma":[0.9993511,0.000002700597,0.0004277011,0.0000511273,0.00001296768,1.65545e-7,0.00002885299,0.00007577188,0.00004964676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.676048,"threshold_uncertainty_score":0.9401516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06237085524152291,"score_gpt":0.2869434094267155,"score_spread":0.2245725541851926,"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."}}