{"id":"W2560163572","doi":"10.1017/s0266466616000463","title":"INTEGRATED SCORE ESTIMATION","year":2016,"lang":"en","type":"article","venue":"Econometric Theory","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Estimator; Rate of convergence; Applied mathematics; Inference; Convergence (economics); Mean squared error; Norm (philosophy); Statistics; Mathematical optimization; Computer science; Artificial intelligence","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":[0.01283493,0.001439172,0.002758388,0.002770909,0.0006483359,0.004382012,0.004380723,0.002111774,0.01515523],"category_scores_gemma":[0.09265334,0.0007207072,0.001460363,0.003775066,0.001958798,0.00522631,0.004228778,0.003072669,0.003134937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541122,"about_ca_system_score_gemma":0.00280665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076493,"about_ca_topic_score_gemma":0.005475565,"domain_scores_codex":[0.9930859,0.003148079,0.0003401589,0.001436178,0.001563969,0.000425783],"domain_scores_gemma":[0.9655948,0.02345474,0.002202104,0.004428131,0.003677876,0.0006422958],"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":[0.0002323088,0.0001610305,0.01939048,0.0004041039,0.0006664834,0.0002222467,0.0002734085,0.1538757,0.0008801827,0.4794825,0.01712495,0.3272866],"study_design_scores_gemma":[0.00007371846,0.0001516471,0.0032364,0.0001141391,0.0001459257,0.0001961537,0.00007546628,0.7053263,0.0008369907,0.2806428,0.009150966,0.00004960791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01004867,0.0007019388,0.9816643,0.000695181,0.0001162216,0.0001090381,0.0004450775,0.0004118453,0.005807707],"genre_scores_gemma":[0.5105124,0.001568536,0.4644573,0.001269548,0.0007496058,0.000504511,0.003572423,0.0005127111,0.01685304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01515523,"threshold_uncertainty_score":0.06787837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732550794538993,"score_gpt":0.2034418423037981,"score_spread":0.1661163343584082,"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."}}