{"id":"W2768511737","doi":"10.5539/ijsp.v7n1p86","title":"Some Characterization Results by Conditional Expectations and their Applications to Lindley-type Distributions","year":2017,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Characterization (materials science); Mathematics; Type (biology); Applied mathematics; Residual; Goodness of fit; Statistics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003248967,0.0001346059,0.000198205,0.00006677199,0.0004679691,0.0002925011,0.0002913767,0.00005711737,0.00003827524],"category_scores_gemma":[0.002664581,0.00011844,0.00003340333,0.00005575199,0.0002557484,0.0002998002,0.00008923541,0.0001452208,0.000007898168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007645601,"about_ca_system_score_gemma":0.00008524227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006788579,"about_ca_topic_score_gemma":0.000006076829,"domain_scores_codex":[0.9986952,0.00004367456,0.0006576013,0.0002078501,0.0002737816,0.0001219127],"domain_scores_gemma":[0.9969084,0.0006083217,0.0006312317,0.0002300314,0.001410213,0.0002117882],"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":[0.00008118942,0.000241392,0.0002543018,0.00001796484,0.0000657191,0.000001334292,0.0002337401,0.000001405426,0.001419268,0.9820283,0.004554047,0.01110135],"study_design_scores_gemma":[0.00077353,0.0001069052,0.03988489,0.00003526906,0.0000389104,0.00004121654,0.000100676,0.0009312291,0.0005441155,0.9459028,0.01146597,0.0001744729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03009995,0.00003436237,0.935594,0.005895381,0.0001701291,0.0003425705,0.02776045,0.00001614514,0.00008701162],"genre_scores_gemma":[0.9535874,0.00006687578,0.04406828,0.0001117066,0.0002185265,0.00005506294,0.001805165,0.00001009689,0.00007689965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9234874,"threshold_uncertainty_score":0.4829842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05019403168877132,"score_gpt":0.3677646143062719,"score_spread":0.3175705826175006,"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."}}