{"id":"W4250422959","doi":"10.1145/633482.633495","title":"\"Bloat\"","year":2000,"lang":"en","type":"article","venue":"CHI '00 extended abstracts on Human factors in computer systems - CHI '00","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Word (group theory); Software; Term (time); World Wide Web; Programming language; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009620232,0.0009181952,0.000965638,0.001001887,0.000402173,0.001165552,0.003519875,0.0004199649,0.0002627076],"category_scores_gemma":[0.00009979998,0.0008563684,0.000288078,0.0009296869,0.0001417469,0.0009457632,0.0004095835,0.001486657,0.0007675497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004852262,"about_ca_system_score_gemma":0.000156886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004585274,"about_ca_topic_score_gemma":0.00002115131,"domain_scores_codex":[0.9934246,0.0002806311,0.001401375,0.001784253,0.001535393,0.00157373],"domain_scores_gemma":[0.9954993,0.0008852223,0.0002778598,0.002598951,0.0001284735,0.000610177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002239,0.00822841,0.0601338,0.002457138,0.001225951,0.005263635,0.01928989,0.6191532,0.001779489,0.04815859,0.07204726,0.1620388],"study_design_scores_gemma":[0.002251224,0.0008410636,0.9267063,0.001119619,0.00001020562,0.0001710071,0.00003273537,0.03950571,0.00158965,0.0006711343,0.02499091,0.00211041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966233,0.0003828638,0.01989264,0.00009208491,0.005136303,0.001104007,0.00002602387,0.001741447,0.005391641],"genre_scores_gemma":[0.9944356,0.00002466983,0.002934773,0.0001269601,0.001307861,0.00006928709,0.0000359023,0.0001122616,0.0009526475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665725,"threshold_uncertainty_score":0.9998713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712781445241532,"score_gpt":0.2910802495229868,"score_spread":0.2539524350705715,"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."}}