{"id":"W4300452988","doi":"10.1920/wp.cem.2012.0512","title":"Inference on counterfactual distributions","year":2012,"lang":"en","type":"report","venue":"","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Banff Centre","funders":"Economic and Social Research Council","keywords":"Counterfactual thinking; Inference; Econometrics; Computer science; Statistics; Data science; Artificial intelligence; Mathematics; Psychology; 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":[0.04288791,0.001491531,0.002324172,0.005004388,0.0007736514,0.003766471,0.004203665,0.002170496,0.01237992],"category_scores_gemma":[0.1916933,0.001315589,0.003287754,0.003869382,0.003322704,0.007292708,0.003280059,0.005575567,0.00131737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262631,"about_ca_system_score_gemma":0.002543145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004636403,"about_ca_topic_score_gemma":0.00274916,"domain_scores_codex":[0.9767942,0.01645921,0.0008975289,0.002699373,0.002627994,0.0005216615],"domain_scores_gemma":[0.8475471,0.1320488,0.008042402,0.008770785,0.003111983,0.0004787821],"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":[0.00008204994,0.0000985221,0.003262775,0.0001682791,0.0002729919,0.0001293172,0.0001843903,0.1637994,0.0002173954,0.7759833,0.002030406,0.05377114],"study_design_scores_gemma":[0.00003376863,0.00002755468,0.0005809942,0.00009469362,0.00004347143,0.00005841911,0.00002755547,0.5316971,0.0004077881,0.4646646,0.002337075,0.00002692826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003150358,0.0001757333,0.9944713,0.0004006956,0.00004685062,0.00006741569,0.0001762946,0.0001732258,0.001338133],"genre_scores_gemma":[0.3128256,0.001287222,0.6783919,0.0008133666,0.0004229231,0.001267641,0.001280285,0.0002911096,0.003420006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04288791,"threshold_uncertainty_score":0.2268156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08625149633644459,"score_gpt":0.2578032230020725,"score_spread":0.171551726665628,"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."}}