{"id":"W3204600540","doi":"10.6000/1929-6029.2021.10.11","title":"Fixed Effects High-Dimensional Profiling Models in Low Information Context","year":2021,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Profiling (computer programming); Medicaid; Inference; Payment; Medicine; Health care; Actuarial science; Computer science; Business; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00710021,0.002176818,0.002886507,0.001382673,0.0009810681,0.003176129,0.003546364,0.003285182,0.008092853],"category_scores_gemma":[0.02395188,0.001329052,0.002805413,0.002082718,0.001855556,0.002855421,0.002566272,0.004627027,0.001360784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001931944,"about_ca_system_score_gemma":0.001762353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02803197,"about_ca_topic_score_gemma":0.02002704,"domain_scores_codex":[0.9949882,0.002638511,0.0001804366,0.001207304,0.0003065626,0.0006789439],"domain_scores_gemma":[0.9766605,0.01740836,0.002689007,0.001468731,0.001247748,0.0005255918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005939077,0.0003285361,0.04809448,0.000353004,0.000885009,0.0008703626,0.0006702043,0.7294724,0.000516626,0.169192,0.00787263,0.04115077],"study_design_scores_gemma":[0.00009414291,0.0001378816,0.006586521,0.0001082806,0.0002595101,0.00009659868,0.0001668463,0.9184501,0.0001816624,0.07016997,0.003673318,0.00007512143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1994801,0.004186209,0.7698333,0.006178549,0.0005555632,0.0004943657,0.008476883,0.0008428947,0.009952131],"genre_scores_gemma":[0.8877351,0.002236979,0.08405089,0.00148026,0.0005643823,0.0008113193,0.005115719,0.0001444515,0.01786094],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02803197,"threshold_uncertainty_score":0.05573761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08479732764426232,"score_gpt":0.400350894261346,"score_spread":0.3155535666170837,"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."}}