{"id":"W4385580723","doi":"10.1002/cjs.11791","title":"Improved inference for a boundary parameter","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Padova; Ministero dell’Istruzione, dell’Università e della Ricerca; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Estimator; Inference; Boundary (topology); Limiting; Mathematics; Applied mathematics; Range (aeronautics); Statistical inference; Statistical hypothesis testing; Boundary value problem; Computer science; Statistics; Mathematical analysis; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03231477,0.0009438346,0.003038645,0.00311139,0.001384619,0.003744723,0.004379699,0.003196911,0.004962687],"category_scores_gemma":[0.1751678,0.001152244,0.001850961,0.001715442,0.005989007,0.007027846,0.005295936,0.007040046,0.001013731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782722,"about_ca_system_score_gemma":0.001729246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004581034,"about_ca_topic_score_gemma":0.002283814,"domain_scores_codex":[0.9832922,0.01050637,0.0005543128,0.002637683,0.00237194,0.000637613],"domain_scores_gemma":[0.8717958,0.1041393,0.004990171,0.01235028,0.004931183,0.001793194],"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":[0.00110937,0.0002580813,0.02852538,0.0004634524,0.0004290461,0.0006933575,0.001032072,0.284685,0.006119323,0.5446715,0.003939441,0.1280738],"study_design_scores_gemma":[0.00005105939,0.00007742261,0.002502943,0.0001222613,0.00004266717,0.0001194758,0.00007152388,0.7561651,0.002132388,0.2375492,0.00112011,0.00004594462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03951891,0.0002935925,0.9568287,0.0004864606,0.00005700139,0.00003629945,0.0000859697,0.0005023217,0.002190697],"genre_scores_gemma":[0.7823102,0.0002484901,0.2136785,0.0005435116,0.000170544,0.0001515764,0.0004585068,0.0003083827,0.002130231],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03231477,"threshold_uncertainty_score":0.1708989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120026833599349,"score_gpt":0.3355104857493864,"score_spread":0.2235078023894514,"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."}}