{"id":"W2134368299","doi":"10.1111/j.1368-423x.2010.00340.x","title":"Statistical inference in the presence of heavy tails","year":2012,"lang":"en","type":"article","venue":"Econometrics Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Inference; Statistical inference; History; Library science; Computer science; Statistics; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06576843,0.0009097786,0.003427902,0.004465411,0.001723283,0.005446893,0.002314126,0.003512443,0.007391177],"category_scores_gemma":[0.3577766,0.001741246,0.001973271,0.004763749,0.009877477,0.008441387,0.004474964,0.009377655,0.00116843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197254,"about_ca_system_score_gemma":0.003795366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0046967,"about_ca_topic_score_gemma":0.003209626,"domain_scores_codex":[0.9483282,0.03744249,0.002270974,0.004843856,0.005884073,0.001230385],"domain_scores_gemma":[0.4641524,0.4847223,0.01675407,0.0230832,0.009350114,0.001937864],"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":[0.0001888366,0.0001259955,0.01461706,0.000751368,0.0011455,0.001007482,0.000826834,0.0534629,0.0004003096,0.8442946,0.01922569,0.06395342],"study_design_scores_gemma":[0.00004472388,0.00004282202,0.001602384,0.0002032661,0.00009452807,0.0001516909,0.00009647865,0.07740574,0.0001963367,0.9163122,0.003814982,0.00003488222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01766522,0.006339968,0.9569114,0.01004879,0.001339463,0.0001004751,0.0004779943,0.0004509586,0.006665791],"genre_scores_gemma":[0.708495,0.0115201,0.2496213,0.005924864,0.007741354,0.0007061667,0.001282411,0.0005500219,0.01415886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06576843,"threshold_uncertainty_score":0.3478209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2376549650928265,"score_gpt":0.4223780655779082,"score_spread":0.1847231004850817,"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."}}