{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002667311,0.0001116423,0.0001183971,0.00005347047,0.0004015442,0.0001911904,0.0003547536,0.00005157295,0.0000251069],"category_scores_gemma":[0.0004792848,0.0001038746,0.00002712487,0.0002244402,0.00009118525,0.002133058,0.0001145715,0.00009426627,0.0001345486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002350949,"about_ca_system_score_gemma":0.00006524606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004828119,"about_ca_topic_score_gemma":0.000003136827,"domain_scores_codex":[0.9987739,0.0001413242,0.0002273996,0.0003472118,0.0003151771,0.0001950231],"domain_scores_gemma":[0.9990236,0.0001786338,0.0001242967,0.0004503249,0.0001067843,0.0001164039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006635592,0.0002269364,0.002863927,0.00003803738,0.00002496683,0.000130888,0.9403957,0.000001915835,0.001858857,0.02191133,0.002739357,0.02980152],"study_design_scores_gemma":[0.002407737,0.0006103271,0.01464587,0.0001455663,0.00004591347,0.008809861,0.02219166,0.3175945,0.005663199,0.007129965,0.6183728,0.002382586],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5809003,0.0006465826,0.4152479,0.001958932,0.0003905231,0.0001695968,7.318977e-7,0.0003467471,0.0003387016],"genre_scores_gemma":[0.9223225,0.0001279027,0.07596489,0.00127188,0.00006905822,0.00005393846,0.000002268014,0.000006121116,0.0001814374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9182039,"threshold_uncertainty_score":0.4235883,"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."}}