{"id":"W4234559128","doi":"10.1002/spe.885","title":"Kwyjibo: automatic domain name generation","year":2008,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Domain (mathematical analysis); Natural language processing; Word (group theory); Artificial intelligence; Syllable; Quality (philosophy); Categorization; Information retrieval; Speech recognition; Linguistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001007119,0.0008211022,0.0007611114,0.001547324,0.0006177871,0.001470691,0.001355173,0.0006169277,0.0232626],"category_scores_gemma":[0.00506585,0.0004546476,0.0005533063,0.001125827,0.0005355804,0.002299997,0.00177217,0.0009990633,0.009512736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460216,"about_ca_system_score_gemma":0.000594259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009967795,"about_ca_topic_score_gemma":0.001094338,"domain_scores_codex":[0.9989055,0.0003071861,0.00009389101,0.0002579255,0.0003394787,0.00009602083],"domain_scores_gemma":[0.9979377,0.0006914123,0.0001658394,0.0006079751,0.0004618193,0.0001352467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001097319,0.0002909776,0.002975548,0.0007452853,0.00009105885,0.0007008445,0.0004291279,0.007467195,0.05993878,0.017985,0.06736028,0.8409185],"study_design_scores_gemma":[0.0005653258,0.0003982931,0.003486401,0.0001089572,0.0001364276,0.00152348,0.0004895642,0.6302413,0.1988919,0.04065291,0.1232962,0.0002091608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04215422,0.0005215621,0.8014436,0.0003697298,0.0005946727,0.0004573833,0.001999532,0.1402639,0.0121954],"genre_scores_gemma":[0.2783327,0.0002596615,0.685356,0.000342404,0.0001383133,0.0003129246,0.008872633,0.009481374,0.01690399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0232626,"threshold_uncertainty_score":0.07782114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004372368656301,"score_gpt":0.2833711744353633,"score_spread":0.2533274507488003,"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."}}