{"id":"W4367056862","doi":"10.1016/j.jmva.2023.105190","title":"Predictive density estimators with integrated <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" id=\"d1e755\" altimg=\"si27.svg\"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math> loss","year":2023,"lang":"lv","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mathematics; Estimator; Density estimation; Equivariant map; Combinatorics; Algorithm; Statistics; Discrete mathematics; Pure mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0153375,0.001090075,0.001495861,0.002780827,0.0008833505,0.003736989,0.004467061,0.002469502,0.0194163],"category_scores_gemma":[0.1014446,0.001303738,0.001996526,0.003635033,0.001926769,0.006093081,0.003719112,0.00471505,0.007287063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226745,"about_ca_system_score_gemma":0.004373863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108968,"about_ca_topic_score_gemma":0.01163993,"domain_scores_codex":[0.993966,0.003379406,0.0002896008,0.000793542,0.001271078,0.0003004567],"domain_scores_gemma":[0.9625361,0.02616938,0.00154679,0.006171431,0.003171945,0.0004043768],"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":[0.0003068655,0.0002145535,0.003157048,0.000417583,0.0002392928,0.0001681104,0.000347507,0.1796964,0.0008895322,0.5235346,0.0335681,0.2574605],"study_design_scores_gemma":[0.00006371518,0.0000452141,0.0008242782,0.0001701348,0.00007188765,0.0001195752,0.00006493208,0.7576172,0.001352799,0.2295595,0.01005856,0.00005224061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001873687,0.000227114,0.9946025,0.0003063123,0.00006676011,0.00006885152,0.0003714422,0.0007859654,0.001697261],"genre_scores_gemma":[0.1186468,0.001009217,0.8556643,0.0005524944,0.0003457939,0.001043007,0.00473676,0.001188228,0.01681336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0194163,"threshold_uncertainty_score":0.0811134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653477127786561,"score_gpt":0.2866784433335534,"score_spread":0.2601436720556877,"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."}}