{"id":"W3183973360","doi":"10.1007/s10463-021-00804-4","title":"Semiparametric inference on general functionals of two semicontinuous populations","year":2021,"lang":"en","type":"article","venue":"Annals of the Institute of Statistical Mathematics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Public Health Ontario; University of Waterloo","funders":"","keywords":"Estimator; Mathematics; Inference; Asymptotic distribution; Applied mathematics; Nonparametric statistics; Context (archaeology); Empirical likelihood; Semiparametric regression; Statistical inference; Semiparametric model; Population; Econometrics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006029363,0.0002131435,0.000759462,0.0001150171,0.00007118602,0.00001517638,0.0003541002,0.00009335775,0.000256028],"category_scores_gemma":[0.02543023,0.0001540281,0.0001844879,0.0006421717,0.0004896269,0.00006881237,0.0001707133,0.0002109215,0.000006416879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001420484,"about_ca_system_score_gemma":0.000204029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004953511,"about_ca_topic_score_gemma":0.00001522417,"domain_scores_codex":[0.9974421,0.0001580296,0.001235408,0.0002290389,0.0006930514,0.0002423771],"domain_scores_gemma":[0.993365,0.00423592,0.0007071447,0.0006938151,0.0008989034,0.00009925423],"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":[0.0000160088,0.0006670239,0.0003492475,0.0005334314,0.00007906156,0.000004218566,0.0001024535,0.0003270882,0.002127703,0.9910655,0.001362677,0.003365594],"study_design_scores_gemma":[0.000271015,0.0001246906,0.002180477,0.000498488,0.0001121433,0.00001060326,0.00003627776,0.003317167,0.03040537,0.962782,0.0001101552,0.0001515905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3082557,0.00006804708,0.6823788,0.0003863434,0.0004922134,0.0002848818,0.0009584997,0.00002151625,0.007153988],"genre_scores_gemma":[0.4457664,0.00001978548,0.553854,0.00009536179,0.00003007883,0.000007406379,0.000009353052,0.00001420432,0.000203424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1375107,"threshold_uncertainty_score":0.982779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2757588511490457,"score_gpt":0.4597700208844643,"score_spread":0.1840111697354186,"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."}}