{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001156329,0.0003680472,0.0003567191,0.0002022448,0.0002189417,0.000154061,0.001483392,0.0003742413,0.000001667585],"category_scores_gemma":[0.000008834564,0.0004383432,0.0001809131,0.00001717526,0.0001908535,0.0001926216,0.001036771,0.0005273418,0.0001469975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082918,"about_ca_system_score_gemma":0.0002161486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001413908,"about_ca_topic_score_gemma":0.000003860617,"domain_scores_codex":[0.998392,0.00003193019,0.000182348,0.0007051217,0.0003368229,0.0003517913],"domain_scores_gemma":[0.9984656,0.00007571671,0.0001557072,0.0009274357,0.0001735003,0.0002020291],"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":[0.000007734691,0.000002793388,2.577462e-7,0.00003101582,0.00005363008,0.0004193202,0.00004797674,0.000007092079,0.00001403213,0.9634745,0.03325234,0.002689311],"study_design_scores_gemma":[0.0002429797,0.00006674782,0.000006621394,0.0002020731,0.00006619722,0.00002573339,0.00001032034,0.003184265,0.0001840762,0.0006709432,0.9946042,0.0007358444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006009647,0.00004387675,0.1516383,0.00005660387,0.0004989864,0.0001350528,0.00007168153,0.0008172661,0.8467323],"genre_scores_gemma":[0.0005265592,0.0001036619,0.001260486,0.0000874402,0.000109346,6.487955e-7,0.00001817899,0.00004184897,0.9978518],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9628035,"threshold_uncertainty_score":0.9998068,"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."}}