{"id":"W2963052257","doi":"10.1007/s00224-016-9718-9","title":"From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back","year":2016,"lang":"en","type":"article","venue":"Theory of Computing Systems","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Consistency (knowledge bases); Database; Causality (physics); Database theory; Representation (politics); Information retrieval; Database design; 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":[0.006818383,0.001507493,0.001919656,0.005109684,0.001927652,0.005993974,0.00308904,0.003044334,0.00972133],"category_scores_gemma":[0.07469455,0.001619947,0.003487842,0.002270832,0.003495733,0.00891729,0.003397268,0.004505808,0.0008034192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002894863,"about_ca_system_score_gemma":0.004867907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008765169,"about_ca_topic_score_gemma":0.006807606,"domain_scores_codex":[0.9913373,0.001963625,0.0006345873,0.001575391,0.003502642,0.0009864374],"domain_scores_gemma":[0.9141699,0.06005299,0.005804638,0.01110726,0.007292335,0.001572731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001850118,0.0005611446,0.04443633,0.001100957,0.0004647179,0.003177299,0.002403753,0.1902009,0.002945123,0.5959363,0.02482493,0.1320983],"study_design_scores_gemma":[0.0001118052,0.00007624362,0.003872178,0.0001530716,0.0002344747,0.0009333822,0.0008090629,0.4004423,0.003189098,0.5866736,0.003405364,0.000099383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1490228,0.002875354,0.8150089,0.01254689,0.0007912345,0.0003702088,0.002502455,0.003812316,0.01306976],"genre_scores_gemma":[0.9298996,0.0009443932,0.06212519,0.0006403194,0.0003682221,0.0001398208,0.0009689857,0.0004138767,0.004499647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00972133,"threshold_uncertainty_score":0.0360595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1368537231830043,"score_gpt":0.3660417987277245,"score_spread":0.2291880755447202,"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."}}