{"id":"W1878790362","doi":"10.3390/ijms232113127","title":"Overview of the TREC 2012 Contextual Suggestion Track.","year":2012,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Track (disk drive); Computer science; Context (archaeology); Information retrieval; Task (project management); Set (abstract data type); World Wide Web; Data science; Geography; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0008496901,0.0001584328,0.0002205653,0.00007530746,0.0001436815,0.00009304033,0.00107559,0.0001061003,0.0004394313],"category_scores_gemma":[0.0002364491,0.0001049862,0.0001307778,0.0007089788,0.0001600851,0.001656835,0.0002763462,0.0002743919,0.0002358077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005099293,"about_ca_system_score_gemma":0.000207249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003097792,"about_ca_topic_score_gemma":0.000004949593,"domain_scores_codex":[0.9981331,0.0001673619,0.0004129577,0.0001679261,0.0006983352,0.0004203673],"domain_scores_gemma":[0.9984732,0.0001449121,0.0002271437,0.0006198778,0.0003701922,0.0001646502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009807901,0.0002913011,0.01010189,0.0001210394,0.00002570758,0.000001346664,0.004801118,0.000003194539,0.008761893,0.8103043,0.002039656,0.1634505],"study_design_scores_gemma":[0.002001241,0.0004963327,0.7684234,0.0003238497,0.0000746888,0.00009798446,0.0003728706,0.006715406,0.1514352,0.00255875,0.06652452,0.0009757322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8817296,0.002590402,0.09075242,0.002444373,0.002278713,0.001134048,0.00005518946,0.0003018745,0.01871339],"genre_scores_gemma":[0.9973133,0.00007584964,0.0005211904,0.0002153694,0.0000570156,0.000003890842,0.000003552525,0.00000542315,0.001804393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8077456,"threshold_uncertainty_score":0.4811465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09325439221598353,"score_gpt":0.3162031300342015,"score_spread":0.2229487378182179,"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."}}