{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005580177,0.001935767,0.001460173,0.01268018,0.001648923,0.003161165,0.002305296,0.001736423,0.01719768],"category_scores_gemma":[0.02187644,0.0008030303,0.001218858,0.007227711,0.0006933728,0.005870084,0.003520823,0.00220693,0.01303868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072274,"about_ca_system_score_gemma":0.004106578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04595241,"about_ca_topic_score_gemma":0.1115282,"domain_scores_codex":[0.9922167,0.001932863,0.000408374,0.001437282,0.003235384,0.0007693003],"domain_scores_gemma":[0.9856039,0.003813663,0.000518431,0.002591351,0.005955839,0.001516885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008685585,0.0005761759,0.008367204,0.0004823333,0.000164672,0.0001213156,0.0003947157,0.003370088,0.02119266,0.002397073,0.3867164,0.5753489],"study_design_scores_gemma":[0.0007435952,0.001196217,0.06814034,0.0004058972,0.0004594416,0.000935797,0.002049868,0.2730742,0.1226745,0.01606289,0.5137635,0.0004937129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1729242,0.02245936,0.3759293,0.01173189,0.003851753,0.002292669,0.1798733,0.1352432,0.09569445],"genre_scores_gemma":[0.2300602,0.003026803,0.445011,0.001010407,0.0009927576,0.001262241,0.2438617,0.007998213,0.06677672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04595241,"threshold_uncertainty_score":0.09136987,"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."}}