{"id":"W4399828393","doi":"10.32920/26052673","title":"Applications of Causal Inference","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Inference; Causal inference; Computer science; Artificial intelligence; Econometrics; Economics","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":[0.0001780164,0.000180463,0.0002346689,0.0001547643,0.00002581963,0.0001765597,0.001499771,0.0002010921,0.00002840656],"category_scores_gemma":[0.00001463197,0.0001589694,0.00009818711,0.0002849282,0.0000541948,0.00004901228,0.003267241,0.0005924653,0.0002029886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002360602,"about_ca_system_score_gemma":0.000465279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000190174,"about_ca_topic_score_gemma":0.00001520616,"domain_scores_codex":[0.9986682,0.00002539646,0.0003370747,0.0005617492,0.0002398913,0.0001676779],"domain_scores_gemma":[0.9984739,0.00007188326,0.0001003447,0.001101586,0.0001746362,0.00007769154],"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":[3.190665e-7,0.00002855187,0.00001523865,0.0002180558,0.00002213385,0.000001749036,0.0001781247,0.0005432815,0.000111645,0.9261823,0.0008114338,0.07188713],"study_design_scores_gemma":[0.00002347265,0.00001676185,0.00002405481,0.000143522,0.00001544553,0.000002566552,0.00000562903,0.2215177,0.001211262,0.775566,0.001256677,0.0002168818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000289216,0.0005125866,0.9698383,0.0006430186,0.0003417669,0.0001920612,0.00001662459,0.0003813677,0.02778504],"genre_scores_gemma":[0.89095,0.00006581427,0.1074853,0.00008950838,0.00006930776,0.0001388349,0.000008220044,0.000009248183,0.001183742],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8906608,"threshold_uncertainty_score":0.6482583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187327467075799,"score_gpt":0.3138015278462048,"score_spread":0.2819282531754468,"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."}}