{"id":"W1594349942","doi":"10.1007/978-3-642-19668-3_12","title":"Uncertainty in Rank Join","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Join (topology); Ranking (information retrieval); Rank (graph theory); Result set; sort; Operator (biology); Set (abstract data type); Information retrieval; Domain (mathematical analysis); Aggregate (composite); Sort-merge join; Semantics (computer science); Theoretical computer science; Core (optical fiber); Learning to rank; Query optimization; Data mining; Programming language","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":[0.006420819,0.0009392881,0.003067341,0.001982293,0.002163273,0.004763858,0.002564839,0.002318116,0.01297449],"category_scores_gemma":[0.0240507,0.0009445403,0.001119483,0.003379835,0.002898626,0.007742565,0.005002648,0.005043638,0.002990192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865509,"about_ca_system_score_gemma":0.001251298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207548,"about_ca_topic_score_gemma":0.001338086,"domain_scores_codex":[0.9914719,0.002978321,0.0003621405,0.001015032,0.003629814,0.0005427455],"domain_scores_gemma":[0.9854798,0.0103692,0.0006576406,0.002038977,0.0009506072,0.000503698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004681217,0.00009640367,0.0007294141,0.0002316962,0.00007631382,0.0001019092,0.0002819627,0.07300659,0.001096599,0.7870806,0.0161422,0.1206881],"study_design_scores_gemma":[0.00003077683,0.00007089443,0.0001896913,0.00003227212,0.00002604667,0.00009472123,0.00005368122,0.2201844,0.0007824872,0.770118,0.008394102,0.00002299944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.020843,0.004574351,0.9430518,0.002024572,0.000451556,0.0001064069,0.0004309828,0.0008535274,0.02766382],"genre_scores_gemma":[0.6123788,0.003626996,0.3198998,0.0008817535,0.003462974,0.0004368275,0.001949523,0.001121811,0.05624162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01297449,"threshold_uncertainty_score":0.04340404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407417195732661,"score_gpt":0.2365362484956803,"score_spread":0.2124620765383536,"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."}}