{"id":"W2576853603","doi":"","title":"Laval University and Lakehead University at TREC Dynamic Domain 2015: Combination of Techniques for Subtopics Coverage.","year":2015,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; Université Laval","funders":"","keywords":"Computer science; Domain (mathematical analysis); Information retrieval; Library science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837369,0.0000958835,0.0001893202,0.0001253105,0.0001026864,0.00003529221,0.0004607312,0.00007893367,0.000005073739],"category_scores_gemma":[0.00006705923,0.0001035275,0.00004382084,0.0003379744,0.0001170785,0.0003608103,0.0002881747,0.00007182723,0.000003099698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358049,"about_ca_system_score_gemma":0.000183851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001365846,"about_ca_topic_score_gemma":0.0002831548,"domain_scores_codex":[0.9992026,0.00009073126,0.0001054706,0.0002784425,0.0001849496,0.0001377775],"domain_scores_gemma":[0.9990995,0.0001035597,0.0001213612,0.0002986065,0.0002776688,0.00009932897],"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":[0.001766293,0.000605471,0.04130578,0.0003035004,0.0002850385,0.0001206833,0.007472945,0.00002056568,0.01950956,0.7867478,0.01067297,0.1311894],"study_design_scores_gemma":[0.01954888,0.006773836,0.1038416,0.0005979423,0.0006904013,0.0001134349,0.004990303,0.3284297,0.06077721,0.08623298,0.3842945,0.003709287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5410211,0.00003653487,0.4565053,0.0006607746,0.00005045918,0.0001369316,0.00009617647,0.00009338166,0.001399316],"genre_scores_gemma":[0.9886207,0.00004767315,0.0085674,0.000009116409,0.000005594367,9.645875e-8,0.00003607968,0.000003057133,0.002710256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7005148,"threshold_uncertainty_score":0.422173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569653499890819,"score_gpt":0.2502806054467507,"score_spread":0.2245840704478425,"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."}}