{"id":"W2079583986","doi":"10.1145/1082983.1083006","title":"All we really need to know about software engineering is in the film <i>office space</i>","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Craft; Appeal; Software; Space (punctuation); Embodied cognition; Plot (graphics); Cult; Work (physics); Computer science; Software engineering; Sociology; Media studies; Engineering; Visual arts; Law; Art; Artificial intelligence; Political science; Mechanical engineering; 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":[0.0009663989,0.0004752206,0.0003385872,0.0005783993,0.003587867,0.007469974,0.0004913798,0.002101403,0.01786493],"category_scores_gemma":[0.005966971,0.0003259158,0.000287085,0.0007184237,0.005542164,0.01052803,0.002186408,0.007835801,0.006266784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355828,"about_ca_system_score_gemma":0.000722034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00459741,"about_ca_topic_score_gemma":0.007341607,"domain_scores_codex":[0.9990999,0.0003914137,0.0000403642,0.00009632193,0.0002584123,0.0001136617],"domain_scores_gemma":[0.997419,0.001423219,0.0002480676,0.0001681023,0.0003285419,0.0004131053],"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":[0.00004357948,0.00005864539,0.001301326,0.0004748213,0.0000214515,0.0003813543,0.02830391,0.0001468789,0.002182118,0.09641501,0.7339482,0.1367226],"study_design_scores_gemma":[0.000003416774,0.00002944706,0.0007658192,0.0002405038,0.000006829929,0.0002664242,0.007594603,0.00005393953,0.0003439719,0.008214574,0.9824653,0.00001521546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01455162,0.04682652,0.01999372,0.4499252,0.02164354,0.00005608446,0.0003518861,0.0006135404,0.4460378],"genre_scores_gemma":[0.3027391,0.09683387,0.02681019,0.1152723,0.02838775,0.0001479912,0.000772341,0.001416432,0.4276201],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01786493,"threshold_uncertainty_score":0.05976421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283625245638001,"score_gpt":0.2528696983282593,"score_spread":0.2400334458718793,"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."}}