{"id":"W2403808737","doi":"","title":"York University at TREC 2013: Contextual Suggestion Track.","year":2013,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Ontology; Information retrieval; Directory; Context (archaeology); User profile; World Wide Web; Track (disk drive); Construct (python library); User modeling; Human–computer interaction; User interface","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.01282743,0.004200568,0.003247906,0.005026823,0.005859664,0.005467923,0.004573158,0.003733408,0.07703705],"category_scores_gemma":[0.02237287,0.001104575,0.001109562,0.004929041,0.001345985,0.006946045,0.003086828,0.005767963,0.04518236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007595406,"about_ca_system_score_gemma":0.01442341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2440349,"about_ca_topic_score_gemma":0.4693237,"domain_scores_codex":[0.9909053,0.002417581,0.0002921796,0.0009076816,0.004644443,0.0008328353],"domain_scores_gemma":[0.9765979,0.003679274,0.0006194194,0.002180702,0.01254418,0.004378417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001074348,0.0001801335,0.0002214852,0.0001350532,0.00002326203,0.00002473806,0.00004332738,0.0003287921,0.0007399693,0.0002784693,0.9875277,0.01038973],"study_design_scores_gemma":[0.001109008,0.0007145965,0.008320262,0.000355242,0.0001638696,0.000197347,0.0008805137,0.01950691,0.00868455,0.004468812,0.9551759,0.0004229615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0369912,0.02212929,0.04289192,0.05238995,0.02004773,0.008931794,0.5930122,0.0758061,0.1477998],"genre_scores_gemma":[0.04441995,0.004645348,0.06285783,0.006143179,0.002619533,0.005788166,0.7069584,0.004549431,0.1620182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2440349,"threshold_uncertainty_score":0.4852289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03865126584643107,"score_gpt":0.2564622964168803,"score_spread":0.2178110305704492,"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."}}