{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005737531,0.0001400634,0.0002144713,0.0001249159,0.00100863,0.000125822,0.0003277871,0.0001612831,0.003195739],"category_scores_gemma":[0.0002342902,0.0001392626,0.00008116474,0.0005432576,0.0005693467,0.0005998573,0.0000883691,0.0001511055,0.003045117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002113047,"about_ca_system_score_gemma":0.000162544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524765,"about_ca_topic_score_gemma":0.006156796,"domain_scores_codex":[0.9984448,0.0001954827,0.0002465224,0.0002131031,0.0005184929,0.0003816317],"domain_scores_gemma":[0.9986091,0.0002147279,0.0001908872,0.0001935089,0.0006208477,0.0001709782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003575418,0.0001484287,0.08944062,0.0000929934,0.0002079691,0.00001403574,0.1895996,0.000009725831,0.0009598829,0.5627233,0.1263603,0.0300856],"study_design_scores_gemma":[0.001399954,0.0001853436,0.1915999,0.0001043686,0.00005091406,0.000006155597,0.114591,0.0002387825,0.0002256086,0.001889679,0.6889421,0.0007661178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7486272,0.0001382914,0.0002937611,0.002917341,0.0004708738,0.0006944227,0.00001906349,0.000274937,0.2465641],"genre_scores_gemma":[0.9626764,0.0001688937,0.00005525533,0.00007667246,0.00007779369,0.000002721255,0.00000902871,0.000004963802,0.03692827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5625819,"threshold_uncertainty_score":0.9977311,"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."}}