{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005369229,0.0008642083,0.001501945,0.001771625,0.000696602,0.002325242,0.002409656,0.001763875,0.003877676],"category_scores_gemma":[0.02908632,0.0006456656,0.001225552,0.00156402,0.001375987,0.005199624,0.003219699,0.00218276,0.00118554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230351,"about_ca_system_score_gemma":0.001833155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435553,"about_ca_topic_score_gemma":0.0008404279,"domain_scores_codex":[0.9967333,0.001526027,0.0001899029,0.0005987715,0.0007823773,0.0001696027],"domain_scores_gemma":[0.9897131,0.006378009,0.0007784105,0.00163562,0.001257982,0.0002369809],"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":[0.0001394613,0.00007622519,0.003509913,0.0003005427,0.0001678955,0.0002075035,0.0002206537,0.2375253,0.00361671,0.5904422,0.003805652,0.159988],"study_design_scores_gemma":[0.00001543696,0.00005348565,0.0007992618,0.00004708201,0.00002610508,0.0002011126,0.0000325707,0.775407,0.002766886,0.2158327,0.00477175,0.00004662744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00344452,0.0001944837,0.9949282,0.0001127429,0.00002399094,0.00003113497,0.00006975489,0.0000633922,0.001131823],"genre_scores_gemma":[0.3651863,0.001491891,0.6236093,0.0003482023,0.000191132,0.000376906,0.0009388296,0.0001965938,0.007660926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005369229,"threshold_uncertainty_score":0.02839553,"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."}}