{"id":"W1975894010","doi":"10.1080/02331888.2014.946928","title":"Profile Hellinger distance estimation","year":2014,"lang":"en","type":"article","venue":"Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hellinger distance; Estimator; Mathematics; Robustness (evolution); Parametric statistics; Applied mathematics; Nonparametric statistics; Semiparametric model; Parametric model; Robust statistics; Mathematical optimization; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000329977,0.0001327306,0.000208827,0.00002503528,0.00009868488,0.00002598813,0.00009161713,0.00004645772,0.0001559587],"category_scores_gemma":[0.003073547,0.0001185893,0.00002134475,0.00007260932,0.00007392737,0.00005933181,0.00002278051,0.0001168592,0.00007306565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000271805,"about_ca_system_score_gemma":0.00001640453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002172789,"about_ca_topic_score_gemma":0.000005753036,"domain_scores_codex":[0.9989617,0.00009179043,0.0002793357,0.0002157311,0.0002136816,0.0002377126],"domain_scores_gemma":[0.9977376,0.001692242,0.0001130833,0.0002566387,0.0001069382,0.00009347053],"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":[0.000008606965,0.00003032031,0.000007137278,0.00009061094,0.000004840737,0.000002020186,0.00007588978,0.0001492183,0.0000463248,0.8802662,0.004462956,0.1148559],"study_design_scores_gemma":[0.0001388167,0.00004544346,0.00002638991,0.00002105682,0.0000189335,0.000001361457,0.00000841265,0.2180729,0.0002250379,0.7760571,0.005258326,0.0001261857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001521202,0.00001455204,0.9938278,0.00004376332,0.0001770708,0.0001703388,0.0003640232,0.00009238618,0.005158003],"genre_scores_gemma":[0.02993988,0.000007017247,0.9680898,0.00007516237,0.00007655696,0.00002621213,0.00004096522,0.00003085997,0.00171351],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2179237,"threshold_uncertainty_score":0.483593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07536984130459869,"score_gpt":0.419894849335433,"score_spread":0.3445250080308343,"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."}}