{"id":"W2798698938","doi":"10.1145/3209978.3210119","title":"Beyond Pooling","year":2018,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Pooling; Artificial intelligence","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":[0.0168464,0.001940598,0.003325461,0.002572191,0.002236492,0.006172542,0.003436627,0.001438455,0.01279983],"category_scores_gemma":[0.06673601,0.0007005175,0.001977785,0.003801259,0.002825262,0.009525724,0.005863034,0.001983956,0.003519301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028817,"about_ca_system_score_gemma":0.003544017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689905,"about_ca_topic_score_gemma":0.002233311,"domain_scores_codex":[0.9831867,0.007741608,0.0009088425,0.004049878,0.003249306,0.0008637362],"domain_scores_gemma":[0.9590293,0.02002923,0.00230031,0.01348935,0.004016235,0.001135557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008265438,0.0003439087,0.006556968,0.0008322792,0.0007063294,0.0002788783,0.001103265,0.02832481,0.004153736,0.2924871,0.01793588,0.6464504],"study_design_scores_gemma":[0.0001737447,0.0007856037,0.003991919,0.0002846613,0.0005605035,0.0007178992,0.0003837436,0.1083743,0.006998824,0.8238472,0.05372024,0.000161359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02745123,0.00282883,0.9299397,0.001563658,0.0003117402,0.0006972273,0.0009516035,0.0011784,0.03507753],"genre_scores_gemma":[0.6667166,0.002030834,0.3009982,0.002002017,0.001225619,0.001724128,0.002328034,0.0008473463,0.02212722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0168464,"threshold_uncertainty_score":0.08909339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138026237367602,"score_gpt":0.4341193494052339,"score_spread":0.3203167256684737,"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."}}