{"id":"W2055300345","doi":"10.1002/meet.14504001103","title":"Understanding the brevity of Web queries","year":2003,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Information Retrieval and Search Behavior","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; World Wide Web; The Internet; Information retrieval; Context (archaeology); Search engine; Information seeking; Web search query; Information needs; Web search engine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001595706,0.00006273678,0.0001239894,0.000142431,0.0004930078,0.0001010972,0.0009376247,0.00002855248,4.05344e-7],"category_scores_gemma":[0.0005773192,0.00003561352,0.00007663407,0.003471015,0.00314117,0.002376013,0.0002375611,0.00009561426,4.694061e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006510189,"about_ca_system_score_gemma":0.0002337743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003755202,"about_ca_topic_score_gemma":2.064858e-7,"domain_scores_codex":[0.9990236,0.000002092225,0.0002591702,0.00007965777,0.0004289823,0.0002064776],"domain_scores_gemma":[0.9983282,0.0000481079,0.0005183135,0.000134683,0.0009452631,0.00002540597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002200614,0.00000510779,0.002425174,0.00003351254,0.000005148767,1.140646e-9,0.001712406,8.868939e-7,0.005084387,0.9842852,0.0004517332,0.005994205],"study_design_scores_gemma":[0.001829973,0.001293382,0.01069667,0.0001378498,0.0000751964,0.0001158097,0.1829051,0.04574282,0.4974433,0.1422158,0.1167319,0.0008121945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932144,0.00002462513,0.05306102,0.009216148,0.0001149696,0.0006978387,0.00001001125,0.0001050051,0.004626398],"genre_scores_gemma":[0.9915438,0.00004452874,0.008016442,0.0003657835,0.000001854293,0.00001671718,8.412008e-8,0.000001079553,0.0000097408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8420694,"threshold_uncertainty_score":0.9995717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739022493948158,"score_gpt":0.2724190203876867,"score_spread":0.2350287954482051,"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."}}