{"id":"W2152521636","doi":"10.1145/2207676.2208351","title":"The design space of opinion measurement interfaces","year":2012,"lang":"en","type":"article","venue":"","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ranking (information retrieval); Computer science; Space (punctuation); Set (abstract data type); Recall; Human–computer interaction; Rating scale; Interface (matter); The Internet; Information retrieval; User interface; World Wide Web; Mathematics; Psychology; Statistics; Cognitive psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.05221091,0.002041192,0.001299547,0.003858969,0.001159087,0.01117225,0.00226739,0.0024518,0.007516107],"category_scores_gemma":[0.1470312,0.001421614,0.001764309,0.002334231,0.002773863,0.006816784,0.002780978,0.001492163,0.002422688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476722,"about_ca_system_score_gemma":0.00109281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003484172,"about_ca_topic_score_gemma":0.0003225586,"domain_scores_codex":[0.9051868,0.07243755,0.007256261,0.00428201,0.009850102,0.0009871582],"domain_scores_gemma":[0.8230296,0.1425428,0.00668223,0.01311026,0.0132691,0.001365915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001679736,0.0006587767,0.01151878,0.004310846,0.0003027787,0.0004924779,0.01975841,0.006439382,0.02069328,0.2247491,0.01021981,0.6991765],"study_design_scores_gemma":[0.001326178,0.005335239,0.01905887,0.003561191,0.000678381,0.002368442,0.01142805,0.1626937,0.03185999,0.5208757,0.2401099,0.0007042982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04062419,0.0009658075,0.9381024,0.001457201,0.0001392804,0.001936714,0.0004512825,0.003267789,0.01305539],"genre_scores_gemma":[0.2543567,0.0003988119,0.7365251,0.0004137254,0.00008575439,0.004660205,0.0007807132,0.0005938611,0.002185124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05221091,"threshold_uncertainty_score":0.276121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4065431518817881,"score_gpt":0.4242872738973248,"score_spread":0.01774412201553671,"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."}}