{"id":"W1973742631","doi":"10.1016/j.spl.2013.09.007","title":"Pitman closeness results for Type-I censored data from exponential distribution","year":2013,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; McMaster University","funders":"","keywords":"Mathematics; Closeness; Exponential distribution; Estimator; Statistics; Exponential function; Exponential type; Type (biology); Distribution (mathematics); Econometrics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.000367703,0.0002259654,0.0002853806,0.00002283014,0.0002468654,0.000147401,0.0004921914,0.00009146017,0.0003630423],"category_scores_gemma":[0.006091667,0.0002233784,0.00004451035,0.0001745106,0.0002503067,0.0002072164,0.0001450971,0.0001481811,0.0002822769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420707,"about_ca_system_score_gemma":0.00006354304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440125,"about_ca_topic_score_gemma":0.00006194924,"domain_scores_codex":[0.9977263,0.0001251326,0.0007634931,0.0006851954,0.0003279752,0.0003719277],"domain_scores_gemma":[0.9957238,0.002147599,0.0002496565,0.001259024,0.0004519187,0.0001679382],"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":[0.00007539726,0.0001905957,0.00004668922,0.00006767729,0.00003144406,6.755204e-7,0.00004859339,0.00000246329,0.001185251,0.6330567,0.3638819,0.001412616],"study_design_scores_gemma":[0.001000207,0.00003437481,0.009659218,0.00001986708,0.0001062975,9.291958e-7,0.00001056142,0.01777327,0.0002851439,0.964718,0.006102068,0.0002900781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03309942,0.00000338443,0.8506957,0.003169222,0.0002116651,0.001447808,0.1111754,0.0001396749,0.00005781468],"genre_scores_gemma":[0.1481233,0.000002384361,0.7619942,0.0003713434,0.0001650352,0.0003282931,0.08892665,0.0000281239,0.0000606561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3577798,"threshold_uncertainty_score":0.9109105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1632137635048852,"score_gpt":0.385037419315043,"score_spread":0.2218236558101578,"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."}}