{"id":"W3153357","doi":"10.29173/cais413","title":"The Effect of Query Characteristics on Retrieval Results in the TREC Retrieval Tests","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Information retrieval; NIST; Ranking (information retrieval); Computer science; Relevance (law); Query expansion; Document retrieval; Data retrieval; Natural language processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.06033891,0.001367879,0.002191371,0.005534555,0.001270613,0.004095983,0.001715274,0.002805508,0.001263262],"category_scores_gemma":[0.3425941,0.0007148495,0.001861968,0.007507123,0.001859769,0.004261287,0.001805314,0.002226003,0.001050535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002513459,"about_ca_system_score_gemma":0.001029121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004167893,"about_ca_topic_score_gemma":0.003514097,"domain_scores_codex":[0.8824858,0.06127908,0.01431129,0.00820847,0.03030152,0.003413877],"domain_scores_gemma":[0.248186,0.6932865,0.02314378,0.01408181,0.01816585,0.003136139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0596446,0.005654277,0.5655534,0.003022725,0.00551831,0.001999736,0.003273515,0.05692226,0.06858514,0.001273009,0.01114505,0.2174079],"study_design_scores_gemma":[0.001215266,0.02784607,0.8446046,0.0001593832,0.001718553,0.001968392,0.001492723,0.05189281,0.06298871,0.001686298,0.003832583,0.0005945542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846255,0.002915814,0.005181809,0.0003680278,0.0001949387,0.0003199228,0.00153391,0.0006449062,0.0042152],"genre_scores_gemma":[0.993467,0.0002324748,0.002023462,0.0001575709,0.0001089128,0.0002065691,0.002604799,0.0003903286,0.0008087866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06033891,"threshold_uncertainty_score":0.3191065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177791251940546,"score_gpt":0.2559922054301538,"score_spread":0.2382130802360992,"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."}}