{"id":"W2092610242","doi":"10.1145/1035134.1035136","title":"The obstacles and myths of usability and software engineering","year":2004,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Usability; Computer science; Usability engineering; Software engineering; Component-based usability testing; Mythology; Software; Pluralistic walkthrough; Usability inspection; Human–computer interaction; Programming language; History","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","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0003069535,0.00004167559,0.00005878676,0.00001471293,0.000131831,0.00002853773,0.007694453,0.00001939287,1.135228e-7],"category_scores_gemma":[0.008749421,0.00002662537,0.00002006587,0.0001253603,0.0001477641,0.0001383778,0.00822391,0.00009323988,9.911214e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008663105,"about_ca_system_score_gemma":0.00001664628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003669918,"about_ca_topic_score_gemma":0.000007173924,"domain_scores_codex":[0.9996823,0.00002923855,0.000115245,0.00006190101,0.00005870434,0.00005258722],"domain_scores_gemma":[0.9889256,0.001441308,0.00007185483,0.009504573,0.00004205301,0.00001457712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001354464,0.0002773061,0.05040185,0.0003368161,0.0001683724,3.477799e-7,0.008405348,0.004645422,0.00502191,0.8128925,0.00129809,0.1165385],"study_design_scores_gemma":[0.0005780557,0.0001503287,0.3794804,0.0004115773,0.00005956513,0.00005199009,0.000289549,0.01122636,0.02724009,0.5439035,0.03616787,0.0004406775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5297852,0.03657335,0.331396,0.1002659,0.0002859185,0.0007747073,0.00001510987,0.0006698433,0.0002339479],"genre_scores_gemma":[0.5489895,0.0005910472,0.4504007,0.000009012058,0.000001403412,0.000004826456,9.697877e-8,0.000001813793,0.000001587194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3290786,"threshold_uncertainty_score":0.9997974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199353188690443,"score_gpt":0.2642335775236032,"score_spread":0.2422400456366987,"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."}}