{"id":"W4417426866","doi":"10.48550/arxiv.2507.14391","title":"Policy relevance of causal quantities in networks","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banff International Research Station for Mathematical Innovation and Discovery","keywords":"Relevance (law); Outcome (game theory); Representation (politics); Interpretation (philosophy); Contrast (vision); Causal inference","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0281738,0.001122789,0.002614292,0.003405432,0.001491482,0.004869124,0.002499649,0.002972597,0.006741103],"category_scores_gemma":[0.1866047,0.001104942,0.001710975,0.003323276,0.005520682,0.01248277,0.002934314,0.005236538,0.0003443776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005706687,"about_ca_system_score_gemma":0.002310513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00455718,"about_ca_topic_score_gemma":0.003085394,"domain_scores_codex":[0.9804473,0.01399375,0.000799215,0.002917202,0.001339827,0.0005027785],"domain_scores_gemma":[0.7763951,0.2076013,0.007403941,0.005730294,0.002257178,0.0006122143],"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":[0.00007345628,0.00005340639,0.002243425,0.0002466394,0.0001287377,0.00007970334,0.0003653345,0.07636926,0.000148849,0.8992795,0.001216131,0.01979556],"study_design_scores_gemma":[0.0000169524,0.00001265163,0.0004010121,0.00005741842,0.00003008528,0.00001604375,0.00004423583,0.08574327,0.0001230008,0.9124757,0.001067384,0.00001240406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03650534,0.001450754,0.946385,0.006917372,0.00011231,0.0001901832,0.0009124902,0.0003116362,0.007214961],"genre_scores_gemma":[0.7707292,0.003078341,0.2173234,0.001381118,0.0006216904,0.001177394,0.0009973153,0.000254985,0.004436555],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0281738,"threshold_uncertainty_score":0.1489991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2003225767461441,"score_gpt":0.3095260499994185,"score_spread":0.1092034732532744,"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."}}