{"id":"W2291592399","doi":"10.1002/ieam.1775","title":"Testing against “normal” with environmental data","year":2016,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada); Ministry of Environment; Canada’s Oil Sands Innovation Alliance; Golder Associates (Canada)","funders":"Canada's Oil Sands Innovation Alliance","keywords":"Statistics; Normal distribution; Multivariate normal distribution; Sample size determination; Confidence interval; Range (aeronautics); Sample (material); Mathematics; Equivalence (formal languages); Multivariate statistics; Truncated normal distribution; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1596865,0.001920723,0.003037435,0.004721427,0.002795542,0.006848168,0.005423714,0.005015976,0.01366457],"category_scores_gemma":[0.5999253,0.0007602333,0.005246909,0.005716708,0.01551311,0.008344947,0.005934135,0.007844799,0.002038643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334176,"about_ca_system_score_gemma":0.003066315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410478,"about_ca_topic_score_gemma":0.0008968854,"domain_scores_codex":[0.6052967,0.2494812,0.02811027,0.04800029,0.0648427,0.004268789],"domain_scores_gemma":[0.2128559,0.6916462,0.025964,0.0466095,0.02074352,0.002180737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01131508,0.001596001,0.3298332,0.008283726,0.01555858,0.007787232,0.01214605,0.03209915,0.009918937,0.2559758,0.03129346,0.2841927],"study_design_scores_gemma":[0.001686405,0.009793775,0.1485203,0.007384527,0.003330039,0.006188858,0.01141061,0.2005807,0.03016471,0.482426,0.09768471,0.0008293443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2280773,0.002023058,0.7098203,0.004918047,0.003500972,0.002714238,0.003970347,0.001932007,0.04304364],"genre_scores_gemma":[0.8000296,0.0003069413,0.1892036,0.002514989,0.0005839745,0.003913415,0.001628264,0.0004109656,0.001408254],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1596865,"threshold_uncertainty_score":0.8445129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346402800833459,"score_gpt":0.2326826499196865,"score_spread":0.2192186219113519,"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."}}