{"id":"W3135587851","doi":"10.6339/jds.201807_16(3).0002","title":"Minimum Profile Hellinger Distance Estimation for A Two-Sample Location-Shifted Model","year":2021,"lang":"en","type":"article","venue":"Journal of Data Science","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Hellinger distance; Nonparametric statistics; Parametric statistics; Robustness (evolution); Mathematics; Asymptotic distribution; Parametric model; Statistics; Semiparametric regression; Sample size determination; Consistency (knowledge bases); Estimation theory; Applied mathematics; Semiparametric model; Estimator","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":[0.002011104,0.00007416882,0.0001832401,0.00005812961,0.0001450147,0.0001281328,0.0006955267,0.00002048239,0.00003593604],"category_scores_gemma":[0.02278411,0.00005878542,0.00002488422,0.0005022013,0.0002114424,0.0009751854,0.0001211499,0.0001014075,0.000002190312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004310677,"about_ca_system_score_gemma":0.0008099211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000179453,"about_ca_topic_score_gemma":0.000003887304,"domain_scores_codex":[0.9986331,0.00003596408,0.0004513132,0.0002254743,0.0004684451,0.0001857134],"domain_scores_gemma":[0.9961177,0.001792334,0.00035918,0.0004948264,0.00112853,0.0001074276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008750558,0.000415829,0.00008809698,0.0003337372,0.00002502762,0.00001085403,0.0006151959,0.003379785,0.01486656,0.8967551,0.00558013,0.07784216],"study_design_scores_gemma":[0.0001814309,0.00003112304,0.00002555212,0.00008025086,0.00001978907,0.00001051877,0.00004473115,0.6520442,0.002906324,0.3444875,0.0001130788,0.0000555567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004180179,0.0000711746,0.994684,0.0003346869,0.0001483439,0.0001051634,0.0003616832,0.000006228179,0.0001084936],"genre_scores_gemma":[0.08543681,0.000009065781,0.9143575,0.00006460801,0.00005876124,0.000003794165,0.00001659906,0.000005943924,0.00004684585],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6486644,"threshold_uncertainty_score":0.9854474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2435364681247042,"score_gpt":0.4655376581424227,"score_spread":0.2220011900177184,"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."}}