{"id":"W2053450196","doi":"10.1353/cpp.2010.0017","title":"Statistical Models and Causal Inference: A Dialogue with the Social Sciences (review)","year":2010,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistician; Freedman; Causal inference; Frequentist inference; Skepticism; Statistical inference; Inference; Epistemology; Sociology; Social science; Statistics; Bayesian inference; Bayesian probability; Mathematics; Philosophy; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003802365,0.00008393005,0.0001114542,0.0001248191,0.0005132892,0.00009547591,0.0001304463,0.00005062516,0.0001096857],"category_scores_gemma":[0.0007450676,0.00005343,0.00001180634,0.0002920873,0.0003622165,0.0001642707,0.00001571316,0.0001571893,0.000005244224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004467407,"about_ca_system_score_gemma":0.002067926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0586789,"about_ca_topic_score_gemma":0.5050038,"domain_scores_codex":[0.9992718,0.00004085933,0.0001169915,0.0001211833,0.0001595223,0.000289617],"domain_scores_gemma":[0.9993414,0.0001914333,0.0000540806,0.0001103283,0.00007806418,0.0002246427],"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":[3.279305e-7,0.000003465443,0.0006507902,0.00002687564,0.000003608488,8.471724e-7,0.0002200996,6.768187e-7,0.000001130797,0.9709374,0.02125885,0.006895984],"study_design_scores_gemma":[0.0004930105,0.00007822006,0.07506505,0.00007678001,0.00006843519,0.00009112159,0.0001121033,0.01551825,0.000001452688,0.8111783,0.0967994,0.0005178163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4703684,0.0004997135,0.01607193,0.4397533,0.0002990001,0.00156513,0.001113695,0.0001584238,0.07017042],"genre_scores_gemma":[0.9955375,0.00002656564,0.001256964,0.002837727,0.0002087648,0.00002050637,0.00002426075,0.000007939927,0.00007977853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5251691,"threshold_uncertainty_score":0.9475895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054620556339747,"score_gpt":0.3858871273506687,"score_spread":0.2804250717166941,"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."}}