{"id":"W2020463925","doi":"10.1145/1462571.1462581","title":"Paper and proposal reviews","year":2008,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Term (time); Data science; Panel discussion; World Wide Web; Engineering ethics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0560142,0.001297466,0.001700234,0.00765483,0.005271218,0.01738447,0.00476822,0.02366676,0.1009122],"category_scores_gemma":[0.2587115,0.001341373,0.003267459,0.005036149,0.003033594,0.01006611,0.005921033,0.01738694,0.05053826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009391104,"about_ca_system_score_gemma":0.04116469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002646648,"about_ca_topic_score_gemma":0.003193259,"domain_scores_codex":[0.9049464,0.02261877,0.007556784,0.004989206,0.05461229,0.005276572],"domain_scores_gemma":[0.7547555,0.0747202,0.009786673,0.009868136,0.1379324,0.01293708],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004377369,0.00003943949,0.00007841161,0.0008628782,0.00001532733,0.0001522948,0.0002963018,0.00007700265,0.0001791518,0.01033651,0.9629703,0.02494869],"study_design_scores_gemma":[0.0000196584,0.00002552599,0.0000719902,0.0006645047,0.00001353465,0.00004532107,0.0002214107,0.00003234129,0.00009008007,0.001738008,0.9970614,0.00001614193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009501937,0.02025953,0.006005489,0.5099185,0.3050147,0.004435004,0.001585042,0.0006496409,0.151182],"genre_scores_gemma":[0.01609847,0.03524741,0.01430781,0.3883508,0.1306717,0.009642795,0.003000518,0.001316522,0.401364],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9439858,"threshold_uncertainty_score":0.3375849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000016508214448,"score_gpt":0.2875434587443016,"score_spread":0.1875418079228569,"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."}}