{"id":"W4245088926","doi":"10.1007/978-0-387-39940-9_2007","title":"Acquisitional Query Languages","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"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":[],"consensus_categories":[],"category_scores_codex":[0.001371227,0.001052119,0.0009017186,0.001836926,0.0009437289,0.00637679,0.002130534,0.0008418739,0.03258164],"category_scores_gemma":[0.003471727,0.001100358,0.0008964467,0.003166659,0.002638697,0.01056323,0.002555855,0.003539078,0.01765648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315239,"about_ca_system_score_gemma":0.001498389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248263,"about_ca_topic_score_gemma":0.001522243,"domain_scores_codex":[0.9982123,0.000288589,0.0001879138,0.0003770247,0.0008242425,0.0001098758],"domain_scores_gemma":[0.9987274,0.000544281,0.00005012404,0.0003260593,0.0003094959,0.00004253988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003600156,0.00003094491,0.0001350252,0.0002984894,0.00001032385,0.00005577391,0.0005270197,0.000575071,0.002080008,0.777249,0.05794699,0.1610554],"study_design_scores_gemma":[0.00001669682,0.00002234951,0.0001894382,0.0001576625,0.00001969681,0.000566496,0.0001757419,0.005624052,0.004020128,0.4392639,0.5499074,0.00003649235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003703322,0.006252578,0.7562895,0.002640836,0.00041826,0.0001902849,0.002578259,0.01121908,0.2167078],"genre_scores_gemma":[0.1330608,0.01301567,0.5788119,0.002429675,0.0008301687,0.0005758472,0.01276885,0.006492234,0.2520148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03258164,"threshold_uncertainty_score":0.1089965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089304180742957,"score_gpt":0.2429569234386142,"score_spread":0.2320638816311847,"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."}}