{"id":"W3209869703","doi":"","title":"When is a Program an Actual Cause","year":2021,"lang":"en","type":"article","venue":"International Conference on Lightning Protection","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Windsor","funders":"","keywords":"Computer science","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":[0.0001784196,0.0001729948,0.0001251122,0.000134414,0.0001570927,0.0007813883,0.0006578542,0.000114897,0.0002849937],"category_scores_gemma":[0.0000688872,0.0001691635,0.00005929207,0.0001840518,0.00003039394,0.0008558861,0.0001324455,0.0003365027,0.0001629052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008539268,"about_ca_system_score_gemma":0.0002187122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006443184,"about_ca_topic_score_gemma":0.00002514083,"domain_scores_codex":[0.9983355,0.00009799418,0.0002359602,0.0006137942,0.0004899378,0.0002268407],"domain_scores_gemma":[0.9987017,0.00001663756,0.0001100806,0.0004354661,0.0006196445,0.0001165073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004247028,0.0004910709,0.00005154073,0.00001136722,0.00008338526,0.00006673864,0.003600639,0.00007811918,0.01887269,0.4225709,0.0004626071,0.5536685],"study_design_scores_gemma":[0.0005893725,0.0009341427,0.000453013,0.0002450803,0.00001283107,0.0001887488,0.0001655945,0.7485682,0.09732382,0.1371388,0.01376685,0.0006135662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04177828,0.00001238995,0.9316511,0.01206623,0.001182368,0.0003045957,0.00000628201,0.0007026113,0.01229612],"genre_scores_gemma":[0.9619667,0.00001163612,0.03561864,0.000744493,0.0001971266,0.0001712345,0.00001464906,0.00001164934,0.001263867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9201884,"threshold_uncertainty_score":0.7534945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180178479160708,"score_gpt":0.3431307515264776,"score_spread":0.2251129036104068,"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."}}