{"id":"W4312318368","doi":"10.1007/978-3-030-95411-6_22","title":"Statistics","year":2022,"lang":"en","type":"book-chapter","venue":"Mechanical engineering series","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Cumulative distribution function; Probability density function; Statistics; Probability distribution; Probability and statistics; Mathematics; Mathematical statistics; Event (particle physics); Probability mass function; Physics","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":[0.003598515,0.00140942,0.001351363,0.007640106,0.0008612006,0.003298236,0.001334718,0.001031173,0.454247],"category_scores_gemma":[0.03641311,0.0006080991,0.001054288,0.00876916,0.0005599521,0.001957869,0.001478028,0.002212716,0.4127015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280665,"about_ca_system_score_gemma":0.004434885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006311272,"about_ca_topic_score_gemma":0.006919617,"domain_scores_codex":[0.9951844,0.001203699,0.0004201293,0.0009728281,0.001801139,0.0004179538],"domain_scores_gemma":[0.9778933,0.008779917,0.001354387,0.005168446,0.005646548,0.0011575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005729905,0.0000173838,0.0008126664,0.0001029476,0.00001466802,0.00001713278,0.00002046586,0.0001987813,0.00003676881,0.004211187,0.9492643,0.04524644],"study_design_scores_gemma":[0.00004965545,0.00003176652,0.001875904,0.0001386891,0.00001741832,0.00008166758,0.0000459715,0.0006811005,0.0001515225,0.01089255,0.9860176,0.00001616956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001975924,0.002150641,0.03101844,0.005191147,0.003824592,0.0007151769,0.5396699,0.01784865,0.3976055],"genre_scores_gemma":[0.01727321,0.002748369,0.02344765,0.004946173,0.003129667,0.002834229,0.4324332,0.01100382,0.5021837],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.454247,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007293553147586075,"score_gpt":0.1752745790659875,"score_spread":0.1679810259184015,"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."}}