{"id":"W2908619233","doi":"10.3390/e21050459","title":"What Caused What? A Quantitative Account of Actual Causation Using Dynamical Causal Networks","year":2019,"lang":"en","type":"preprint","venue":"Entropy","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Templeton World Charity Foundation","keywords":"Causation; Counterfactual thinking; Counterfactual conditional; Computer science; Causal model; Causality (physics); Causal structure; Artificial intelligence; Psychology; Mathematics; Epistemology; Social psychology","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":[0.008307961,0.0008282918,0.0008634251,0.002686006,0.00116656,0.002746004,0.001530379,0.001962842,0.003550575],"category_scores_gemma":[0.02073488,0.0005037856,0.001133488,0.00128207,0.008489083,0.01040881,0.002350861,0.002353896,0.0001882675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157462,"about_ca_system_score_gemma":0.001463819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468332,"about_ca_topic_score_gemma":0.001133117,"domain_scores_codex":[0.9951155,0.002474134,0.0002685377,0.0007127466,0.001199736,0.0002292486],"domain_scores_gemma":[0.9877427,0.008887123,0.001202282,0.001253222,0.0006528501,0.0002619076],"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":[0.000004015345,0.00000482361,0.0001460458,0.0000221933,0.00001012444,0.00001885905,0.00005749751,0.009548876,0.0001350367,0.9884093,0.0001086282,0.001534687],"study_design_scores_gemma":[0.000004355909,0.00000441577,0.0001211261,0.00001056158,0.000005950706,0.00001808604,0.0000186225,0.02979714,0.00009910762,0.9691943,0.0007201928,0.000006116978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01689309,0.000461906,0.968484,0.002416122,0.00005780909,0.00004644422,0.0001194248,0.00009620813,0.011425],"genre_scores_gemma":[0.8435943,0.0007683895,0.1525432,0.0004557518,0.0001838458,0.0002511386,0.000130021,0.00007128987,0.00200201],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008307961,"threshold_uncertainty_score":0.04393727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892342971231079,"score_gpt":0.313249290088643,"score_spread":0.2643258603763322,"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."}}