{"id":"W3210720616","doi":"","title":"Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning","year":2021,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Probabilistic logic; Scalability; Deductive reasoning; Deductive database; Database; Programming language; Natural language processing; Artificial intelligence; Data mining; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001869998,0.0002121342,0.0002972313,0.0001093864,0.0003904552,0.0008469467,0.0003276221,0.00004446468,0.00001235156],"category_scores_gemma":[0.0003653853,0.0001870699,0.00003845421,0.0007032434,0.00003147529,0.008754955,0.0003484288,0.0001392475,0.0001189513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091545,"about_ca_system_score_gemma":0.0002111263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003950015,"about_ca_topic_score_gemma":0.0000272637,"domain_scores_codex":[0.9981146,0.00008964707,0.0006124366,0.000371759,0.0004551767,0.0003563684],"domain_scores_gemma":[0.9982687,0.00007144417,0.000290651,0.0006175216,0.0005779794,0.0001737085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001689201,0.0004892127,0.006508947,0.006449695,0.0002196846,0.0001381433,0.03481382,0.1371281,0.0194502,0.5464725,0.02918778,0.218973],"study_design_scores_gemma":[0.0007937204,0.00007913236,0.001885876,0.00241365,0.00003080716,0.0002485735,0.004228713,0.7519528,0.01026987,0.00035137,0.2266768,0.001068687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04883173,0.0005362963,0.9475299,0.0002192051,0.0008964865,0.0003606363,0.0001314858,0.000348098,0.001146177],"genre_scores_gemma":[0.8909054,0.00000649497,0.1067448,0.0005145099,0.000258387,0.0002044015,0.0006061336,0.00001836632,0.000741478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8420737,"threshold_uncertainty_score":0.8167127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153156765752779,"score_gpt":0.2609899767663771,"score_spread":0.2394584091088493,"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."}}