{"id":"W2026903646","doi":"10.1007/bf02530552","title":"Fisher information ink-records","year":2004,"lang":"en","type":"article","venue":"Annals of the Institute of Statistical Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Estimator; Statistics; Fisher information; Exponential distribution; Upper and lower bounds; Sample size determination; Sample (material); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002343132,0.0006398234,0.001182818,0.003534336,0.00121291,0.004715018,0.001003573,0.001763936,0.01894338],"category_scores_gemma":[0.01740823,0.0006445466,0.0007074093,0.004964951,0.00230752,0.008580839,0.00259445,0.002573529,0.006563236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143802,"about_ca_system_score_gemma":0.001300775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526264,"about_ca_topic_score_gemma":0.001368965,"domain_scores_codex":[0.9978108,0.0005727229,0.0001916175,0.0004648464,0.0008228539,0.0001371865],"domain_scores_gemma":[0.9921331,0.003067436,0.0006828774,0.002663663,0.001292108,0.0001608679],"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":[0.00009505839,0.00002200922,0.001180148,0.0001310185,0.00002918744,0.00007932206,0.00009309311,0.003820969,0.0007315465,0.871422,0.01434418,0.1080514],"study_design_scores_gemma":[0.000008196076,0.00001587086,0.0008188388,0.00009198918,0.00002637078,0.0002299963,0.00005359457,0.02228687,0.00124179,0.9417452,0.03345616,0.00002506471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02570014,0.01256269,0.8526428,0.008979339,0.001935194,0.0000586592,0.004046263,0.00120707,0.09286776],"genre_scores_gemma":[0.6425119,0.02418122,0.1932961,0.001721617,0.004976816,0.0001980069,0.009632022,0.0008944368,0.1225879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01894338,"threshold_uncertainty_score":0.0633719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082897156603139,"score_gpt":0.3813576644383259,"score_spread":0.2730679487780119,"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."}}