{"id":"W2161181571","doi":"10.1017/s175502031300018x","title":"STRUCTURAL EQUATIONS AND BEYOND","year":2013,"lang":"en","type":"article","venue":"The Review of Symbolic Logic","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual thinking; Causation; Element (criminal law); Modalities; Causal model; Similarity (geometry); Counterfactual conditional; Ranking (information retrieval); Modality (human–computer interaction); Normality; Mathematical economics; Mathematics; Computer science; Epistemology; Artificial intelligence; Philosophy; Image (mathematics); Statistics; Sociology; Law","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":[0.0002403942,0.0000691873,0.0001592046,0.00001571681,0.00006619098,0.0000359245,0.0004686758,0.0000178958,0.00006531302],"category_scores_gemma":[0.00006062403,0.00003645934,0.00003402699,0.0001579876,0.00006948005,0.0001521451,0.0001248968,0.00006811687,0.00005951886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004146239,"about_ca_system_score_gemma":0.00002230538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003145114,"about_ca_topic_score_gemma":3.027206e-7,"domain_scores_codex":[0.9994101,0.00006792733,0.0001839218,0.0001186204,0.0001099449,0.0001094966],"domain_scores_gemma":[0.999365,0.00008992665,0.00007792645,0.0003559562,0.00007360718,0.00003762967],"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":[9.093063e-8,0.000005006902,0.00001841839,0.0004780289,0.000007540167,1.978537e-7,0.0002187777,0.000005603727,0.0001491585,0.8237891,0.0007754864,0.1745527],"study_design_scores_gemma":[0.000136309,0.00009208485,0.003867355,0.001675095,0.00004290104,0.00005460145,0.0000328513,0.08754799,0.0001355145,0.905439,0.0006966999,0.0002795545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02042156,0.3117821,0.5873774,0.05872061,0.0002981402,0.001250806,0.000003659227,0.0001846088,0.01996116],"genre_scores_gemma":[0.9741349,0.01555494,0.006391094,0.003795285,0.00003248098,0.00002405376,8.603494e-7,0.000002722284,0.00006363332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9537134,"threshold_uncertainty_score":0.1486769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580201131816115,"score_gpt":0.2812095219799628,"score_spread":0.2454075106618016,"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."}}