{"id":"W2587910048","doi":"10.29173/cais729","title":"Unstructured English Queries: How Users Request Information","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Vocabulary; Syntax; Documentation; Task (project management); Grammar; Query language; Natural language; Information retrieval; Natural language processing; World Wide Web; Artificial intelligence; Linguistics; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036388,0.0007576784,0.0007586241,0.001425129,0.001212049,0.004386222,0.001527415,0.001454899,0.01033926],"category_scores_gemma":[0.0259854,0.0005665508,0.0003017721,0.001609455,0.001428671,0.007167816,0.003072034,0.001021743,0.004615288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014881,"about_ca_system_score_gemma":0.001231904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007818004,"about_ca_topic_score_gemma":0.0115165,"domain_scores_codex":[0.9961575,0.001944777,0.0003175185,0.0003999686,0.0009036051,0.0002766895],"domain_scores_gemma":[0.9823631,0.01280984,0.0005930704,0.001360062,0.002296838,0.0005770866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003234962,0.0007818128,0.03586021,0.00303984,0.0001717923,0.004786522,0.1806184,0.004174381,0.07680811,0.07085737,0.211915,0.4077515],"study_design_scores_gemma":[0.0003616262,0.0008199107,0.01480257,0.0007567885,0.0002459744,0.00252869,0.07834379,0.07795796,0.0428711,0.05793862,0.7229325,0.0004404553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4214248,0.002428993,0.44136,0.00811799,0.0002410351,0.002574025,0.006577756,0.02315515,0.09412026],"genre_scores_gemma":[0.7801948,0.001255471,0.1606419,0.002712216,0.0001129655,0.000682079,0.009135677,0.003273714,0.04199117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01033926,"threshold_uncertainty_score":0.03458828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970440161819043,"score_gpt":0.2162980520278595,"score_spread":0.206593650409669,"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."}}