{"id":"W4294833180","doi":"10.3390/e24091235","title":"Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models","year":2022,"lang":"en","type":"article","venue":"Entropy","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Instrumental variable; Mathematics; Estimator; Statistics; Econometrics; Variable (mathematics); Variables; Piecewise","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":[0.0002342018,0.000167975,0.0002127367,0.00007277781,0.000262811,0.00002419255,0.0002241892,0.00004997471,0.0003840872],"category_scores_gemma":[0.0003382643,0.0001782402,0.00006634307,0.0001472183,0.00002596263,0.0002228855,0.0001681222,0.000202065,0.000010721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884608,"about_ca_system_score_gemma":0.00006177169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001228234,"about_ca_topic_score_gemma":0.000001333536,"domain_scores_codex":[0.9987737,0.00004575117,0.00029883,0.0002593027,0.0002836253,0.0003387693],"domain_scores_gemma":[0.9989668,0.0004440565,0.0001493535,0.0003056382,0.00006439437,0.00006980591],"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":[0.0002094564,0.0005450221,0.00001477077,0.0001058598,0.00005565076,0.0000175412,0.0006066316,0.08475522,0.008835166,0.881809,0.003599935,0.01944573],"study_design_scores_gemma":[0.0003292263,0.0001885609,9.628447e-8,0.000007146395,0.00001941702,0.00001038959,0.00007683496,0.4136291,0.003489118,0.5804655,0.001666165,0.0001184635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01766522,0.00002718174,0.9797138,0.0001169151,0.0001632733,0.0008547751,0.0001540682,0.0005258295,0.0007789595],"genre_scores_gemma":[0.458503,0.000003171112,0.5406458,0.0001002343,0.00005067516,0.0003856722,0.00006681879,0.00003887782,0.0002056483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4408378,"threshold_uncertainty_score":0.7268425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06051922556134319,"score_gpt":0.3473483503281906,"score_spread":0.2868291247668474,"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."}}