{"id":"W4387566505","doi":"10.1017/9781316718636.006","title":"Causal Queries","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Causal model; Attribution; Computer science; Causality (physics); Causal structure; Causal inference; Population; Causal analysis; Psychology; Econometrics; Mathematics; Social psychology; Statistics; Demography; Sociology; Physics","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":[0.008240107,0.001543368,0.001351604,0.003911385,0.002525044,0.007357745,0.003263825,0.00451819,0.1100645],"category_scores_gemma":[0.04218521,0.001189064,0.001512684,0.004936725,0.003196778,0.01796122,0.00482659,0.005391526,0.02789985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003409273,"about_ca_system_score_gemma":0.002178783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513945,"about_ca_topic_score_gemma":0.002618322,"domain_scores_codex":[0.9907306,0.004391408,0.0007273947,0.001205015,0.00261538,0.0003302003],"domain_scores_gemma":[0.9764079,0.01896209,0.0005813615,0.00175758,0.002001387,0.0002895993],"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":[0.00003354415,0.00002373199,0.0002089613,0.0003615786,0.00001796167,0.000168737,0.0006107024,0.001372956,0.000196193,0.8372053,0.1054496,0.05435075],"study_design_scores_gemma":[0.00001550335,0.000008152112,0.00006193156,0.0002075414,0.00001239996,0.0002992391,0.0002598566,0.003129788,0.0002629353,0.5477042,0.4480186,0.00001987428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002026549,0.009830803,0.6159571,0.03646797,0.00233923,0.0008174377,0.01273274,0.004337793,0.3154904],"genre_scores_gemma":[0.1196721,0.03127213,0.5119436,0.0276916,0.005798704,0.002977597,0.03060478,0.005126109,0.2649134],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1100645,"threshold_uncertainty_score":0.3682025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237887125997442,"score_gpt":0.2130559990801979,"score_spread":0.1706771278202235,"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."}}