{"id":"W2007460187","doi":"10.1093/iwc/iwt026","title":"Introduction to the Special Issue: The Tricky Landscape of Developing Rating Scales in HCI","year":2013,"lang":"en","type":"article","venue":"Interacting with Computers","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Usability; Computer science; Construct (python library); Product (mathematics); Human–computer interaction; Mathematics; Programming language","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":[0.02048568,0.00227413,0.00304609,0.005500837,0.002796854,0.01157739,0.00336277,0.006481827,0.03984828],"category_scores_gemma":[0.1013459,0.001037427,0.001692588,0.004616165,0.005022856,0.01337153,0.005245125,0.0166494,0.0374434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948191,"about_ca_system_score_gemma":0.002286458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341308,"about_ca_topic_score_gemma":0.001663456,"domain_scores_codex":[0.9873005,0.005560255,0.001860003,0.001358307,0.003603676,0.0003172404],"domain_scores_gemma":[0.8675529,0.0861232,0.002812108,0.009042302,0.03063187,0.003837607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001619131,0.00002855281,0.0001193268,0.0002641828,0.0000103111,0.00003229557,0.0002391153,0.00004856732,0.0002165508,0.007577859,0.9228475,0.06859951],"study_design_scores_gemma":[0.000008461014,0.00004422014,0.0004038519,0.0005349504,0.000009673559,0.000213871,0.000185277,0.0002348108,0.00009947406,0.007046681,0.9911907,0.00002808148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004974918,0.04784691,0.04270247,0.1416634,0.7397618,0.0002604013,0.0006386569,0.001801532,0.02482737],"genre_scores_gemma":[0.00485308,0.03889753,0.04083439,0.07606586,0.7719716,0.0008177625,0.001117114,0.003486138,0.06195655],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03984828,"threshold_uncertainty_score":0.1333057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084991247265985,"score_gpt":0.2541948210329612,"score_spread":0.2433449085603014,"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."}}