{"id":"W2579224800","doi":"","title":"News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters.","year":2016,"lang":"en","type":"article","venue":"Conference on Recommender Systems","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Position (finance); Content (measure theory); Information retrieval; Multimedia; Business; Mathematics","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":[0.0009768109,0.0007171473,0.0008790788,0.004922067,0.0006234347,0.001602812,0.0005593501,0.0009475522,0.003035],"category_scores_gemma":[0.006215104,0.0003005628,0.0007203048,0.003535256,0.0001608103,0.001835021,0.0003334145,0.0007639261,0.003512082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004850115,"about_ca_system_score_gemma":0.0006715689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192859,"about_ca_topic_score_gemma":0.03731408,"domain_scores_codex":[0.9991797,0.000137478,0.00007979984,0.000235006,0.0002836468,0.00008444264],"domain_scores_gemma":[0.9957938,0.00158438,0.0003047567,0.0001997831,0.001878529,0.0002386881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002319196,0.001179783,0.1860229,0.0008570097,0.001005786,0.0006009942,0.0004285611,0.008887044,0.02623513,0.001801074,0.09484437,0.6758181],"study_design_scores_gemma":[0.0002675897,0.0009285765,0.1681219,0.0001726617,0.002171908,0.0009943297,0.0009364719,0.7711423,0.02167065,0.003175012,0.0302054,0.0002131683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7298116,0.02154014,0.1819689,0.004150981,0.002622309,0.0006282348,0.01469781,0.003240254,0.0413398],"genre_scores_gemma":[0.9295167,0.003178919,0.04522941,0.0003247523,0.001424544,0.0001140685,0.007945728,0.0001117063,0.01215425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01192859,"threshold_uncertainty_score":0.0237183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07671448070239394,"score_gpt":0.2604228737130745,"score_spread":0.1837083930106806,"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."}}