{"id":"W4401975616","doi":"10.20944/preprints202408.1344.v1","title":"Causal Economic Machine Learning (CEML)","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Economics; 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":[0.008043705,0.0009853828,0.001353382,0.001748323,0.0008408873,0.002774118,0.002475746,0.001976981,0.005271878],"category_scores_gemma":[0.0334106,0.0007155249,0.001316387,0.00200087,0.003674277,0.004116053,0.002340254,0.003285193,0.0005259394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686242,"about_ca_system_score_gemma":0.002580417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003765133,"about_ca_topic_score_gemma":0.002934135,"domain_scores_codex":[0.995759,0.002705324,0.0001371338,0.0006282227,0.0005605501,0.0002098614],"domain_scores_gemma":[0.9750105,0.02014128,0.001516499,0.001888529,0.0009983733,0.0004448926],"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":[0.00001969933,0.00003808373,0.00120987,0.0001089597,0.00008153373,0.00004893738,0.00005637091,0.07385418,0.00006927052,0.9029482,0.001881817,0.01968305],"study_design_scores_gemma":[0.00001177163,0.00001693066,0.0001990473,0.00003761436,0.0000150096,0.00002543185,0.00001181541,0.2272423,0.00008281202,0.7693157,0.003026389,0.00001506125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008511039,0.001488531,0.9746177,0.004826601,0.0002036922,0.00008748171,0.0003081997,0.0001881653,0.009768533],"genre_scores_gemma":[0.6529459,0.00398972,0.3312211,0.002235821,0.000920116,0.0005880683,0.0006164758,0.0001514539,0.007331326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008043705,"threshold_uncertainty_score":0.04253972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178235292508105,"score_gpt":0.3386104561642952,"score_spread":0.2207869269134847,"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."}}