{"id":"W1989474160","doi":"10.1002/meet.1450400134","title":"Structure of domain novice users' queries to a history database","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":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Information retrieval; Categorization; Domain (mathematical analysis); Identification (biology); Taxonomy (biology); World Wide Web; Query language; Information needs; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003765339,0.0002844366,0.0006425639,0.006075183,0.001130786,0.00199931,0.0006290904,0.0009033139,0.001771116],"category_scores_gemma":[0.03994629,0.000345804,0.0003655402,0.002277916,0.0007221001,0.002952819,0.001269111,0.0008745598,0.0004726118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434387,"about_ca_system_score_gemma":0.001056113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419413,"about_ca_topic_score_gemma":0.008956335,"domain_scores_codex":[0.9957302,0.001359449,0.0006206188,0.0005144906,0.001338026,0.0004372292],"domain_scores_gemma":[0.9203634,0.05823962,0.004547135,0.004459985,0.009965499,0.00242435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002237792,0.000967365,0.7993092,0.0005322269,0.00009408359,0.001999412,0.03335325,0.003619485,0.02972469,0.007076012,0.00568123,0.1154052],"study_design_scores_gemma":[0.0001233536,0.001670985,0.7851094,0.0001606618,0.000149307,0.003100301,0.02617008,0.1338105,0.02304603,0.005344064,0.02106997,0.0002453236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905317,0.0002023824,0.004546442,0.0002006179,0.000007276853,0.0001591851,0.000941993,0.0006012781,0.00280909],"genre_scores_gemma":[0.9906647,0.0000727168,0.005784718,0.00006307469,0.00000767457,0.00006313655,0.002208095,0.0000863778,0.001049491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9980007,"threshold_uncertainty_score":0.02822304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105889401498024,"score_gpt":0.2494239149533048,"score_spread":0.2388349748035024,"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."}}