{"id":"W4236229155","doi":"10.1007/978-0-387-39940-9_2969","title":"List Comprehension","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Computer science; Linguistics; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004520714,0.001550768,0.001488805,0.003358445,0.001104466,0.005851364,0.001924189,0.001307253,0.8772028],"category_scores_gemma":[0.004639568,0.0005191537,0.0006994658,0.00536751,0.000435615,0.004932358,0.002127455,0.001345527,0.8298239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186996,"about_ca_system_score_gemma":0.001161083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700481,"about_ca_topic_score_gemma":0.003839827,"domain_scores_codex":[0.9994414,0.00007116208,0.00003917901,0.000117816,0.0002715887,0.00005872123],"domain_scores_gemma":[0.9984483,0.0003789698,0.00006784879,0.000171446,0.0007601202,0.0001733967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001745341,0.00001564245,0.00004327974,0.0002222758,0.000001897958,0.0000238984,0.00003957519,0.00004105005,0.0002961094,0.006108145,0.9230469,0.07014379],"study_design_scores_gemma":[0.000003556717,0.000006535904,0.00007851433,0.00008853757,0.000001329246,0.00002971999,0.0000262193,0.00002638264,0.0001010892,0.001506667,0.998127,0.000004350713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001901867,0.001406763,0.003093896,0.001087378,0.003087272,0.0001808127,0.01406317,0.002739688,0.9741508],"genre_scores_gemma":[0.000964414,0.001152592,0.001303442,0.0006848741,0.0006068493,0.000118055,0.00931228,0.001431072,0.9844264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8772028,"threshold_uncertainty_score":0.1751553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358842716538987,"score_gpt":0.3765323235399375,"score_spread":0.2406480518860388,"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."}}