{"id":"W2056519829","doi":"10.1081/sta-120018826","title":"Parameter Estimation for the Linear Hazard Rate Distribution Based on Records and Inter-record Times","year":2003,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Percentile; Mathematics; Statistics; Rayleigh distribution; Maximum likelihood; Order statistic; Exponential distribution; Estimation theory; Probability density function","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00511706,0.0001662503,0.0002236564,0.00005474906,0.0003849632,0.00007302593,0.000160891,0.00008396071,0.0001198283],"category_scores_gemma":[0.02131825,0.0001324245,0.0000332414,0.000171025,0.0003212743,0.00007106829,0.00003626167,0.00021412,0.000004865021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005159509,"about_ca_system_score_gemma":0.00003789233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005268403,"about_ca_topic_score_gemma":0.000009698831,"domain_scores_codex":[0.996715,0.002340302,0.0004682424,0.0002294433,0.00008025041,0.0001667458],"domain_scores_gemma":[0.9650682,0.03395708,0.00019966,0.0005557516,0.0001502056,0.00006917529],"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":[0.0000912606,0.00007699691,0.00004982303,0.00004928546,0.00001083273,8.258201e-8,0.00009350666,0.0000681101,0.00001127473,0.8857448,0.001208473,0.1125956],"study_design_scores_gemma":[0.000444997,0.00005152482,0.001184997,0.00005231708,0.00005322404,0.000001351743,0.00009890638,0.3223812,0.000181518,0.6692716,0.006166228,0.0001122028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003781969,0.0001010011,0.9969959,0.0006495388,0.00007875588,0.0006969873,0.0007060772,0.00004264358,0.000350856],"genre_scores_gemma":[0.1620917,0.00009510404,0.8364144,0.0002769321,0.000007676147,0.0005058638,0.0003572853,0.00001700361,0.000233968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3223131,"threshold_uncertainty_score":0.9869256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09025551657580728,"score_gpt":0.4605309557673026,"score_spread":0.3702754391914954,"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."}}